The disclosure is related to consumer goods and, more particularly, to methods, systems, products, features, services, and other elements directed to media playback or some aspect thereof.
Options for accessing and listening to digital audio in an out-loud setting were limited until in 2003, when SONOS, Inc. filed for one of its first patent applications, entitled “Method for Synchronizing Audio Playback between Multiple Networked Devices,” and began offering a media playback system for sale in 2005. The Sonos Wireless HiFi System enables people to experience music from many sources via one or more networked playback devices. Through a software control application installed on a smartphone, tablet, or computer, one can play what he or she wants in any room that has a networked playback device. Additionally, using the controller, for example, different songs can be streamed to each room with a playback device, rooms can be grouped together for synchronous playback, or the same song can be heard in all rooms synchronously.
Given the ever growing interest in digital media, there continues to be a need to develop consumer-accessible technologies to further enhance the listening experience.
Features, aspects, and advantages of the presently disclosed technology may be better understood with regard to the following description, appended claims, and accompanying drawings where:
The drawings are for the purpose of illustrating example embodiments, but it is understood that the inventions are not limited to the arrangements and instrumentality shown in the drawings.
Networked microphone devices (NMDs) may be used to control a household using voice control. A NMD may be or may be part of, for example, a SONOS® playback device, server, or system capable of receiving voice input via a microphone. In some examples, the playback device is a SONOS® playback device. Additionally, a NMD may be or may be part of another device, server, or system (e.g., an AMAZON® ECHO®, APPLE® IPHONE®, among other examples) capable of receiving voice inputs via a microphone. U.S. application Ser. No. 15/438,749 filed on Feb. 21, 2017 and titled, “Voice Control of a Media Playback System,” which is hereby incorporated by reference in its entirety, provides examples of voice-enabled household architectures. Voice control can be beneficial for various devices with a “smart” home, such as playback devices, wireless illumination devices, thermostats, door locks, home automation, as well as other examples.
In some implementations, voice inputs detected by a NMD are sent to a voice service for processing. A NMD together with a playback device may operate as a microphone/speaker interface to the voice service. Voice inputs are detected by a microphone of the NMD and then transmitted to a particular voice service for processing. The voice service may then return a command or other result of the voice input.
Utterance of a wake word may invoke a voice service. For instance, in querying the AMAZON® voice service, a user might speak the wake word “Alexa” followed by a voice input. Other examples include “Ok, Google” for querying the GOOGLE® voice service and “Hey, Siri” for querying the APPLE® voice service. Other examples of wake words and voice services exist. Upon detecting a wake word, a NMD may respond by listening, via a microphone, for a voice command following the wake word. This response is referred to herein as the “wake response” of a NMD.
In some circumstances, playback of audio content that includes a wake word may falsely trigger the wake-response of a NMD. Wake-words for many voice services are pre-existing words chosen from the vocabulary of an existing language. For instance, several popular voice services use given names as wake words (e.g., “Alexa” and “Siri”). Accordingly, in some circumstances, recorded audio content such as a talk show, a film, a television show, a podcast, an Internet streaming video, among others, may include a wake word or similar. Playback of such audio content in range of a NMD may falsely trigger the NMD, which may be undesirable for many reasons including that it may interfere with enjoyment of the audio content.
For example, a television may play back a commercial for a given voice service. During the commercial, an actor or actress might speak the wake word for the voice service, perhaps to demonstrate how the voice service is invoked. An NMD in the same room as the television might detect the audio output from the television, and invoke the voice service when the NMD detects the wake word in the commercial. This may be undesirable. Moreover, since the commercial may play on many televisions simultaneously, the commercial may trigger many NMDs at the same time, which may cause an undesirable surge in requests to the voice service.
To avoid their commercials causing false triggering, an operator of a voice service may mark the portion(s) of their commercial that includes a wake word and program their NMDs to ignore these marked portion(s). For instance, the operator may mix in a tone or other audio marker into commercials for the voice service and program their NMDs to ignore wake words that are detected in conjunction with this audio marker. This implementation may be useful in limited instances, such as commercials for the voice service, where the operator of the voice service can embed this marker into the audio content. However, this implementation is not useful with respect to the vast majority of other audio content over which the operator of the voice service has no control.
Example techniques described herein may involve processing audio content to be played back by a playback device before the audio content is audibly played back by the playback device, determining whether the audio content includes one or more wake words, and notifying one or more NMDs to disregard the wake word(s) when they are played back by the playback device. In this manner, the techniques may help prevent false triggering of NMDs. Notably, such techniques may be applicable to any recorded audio content to be played back by a playback device.
For instance, a playback device may receive audio content for playback. Before playing the audio content, the playback device stores the audio content in memory (e.g., in a buffer), and runs a wake word detection algorithm on the audio content. If any wake words are detected in the audio content, the playback device (which may be a NMD itself) causes one or more NMDs to disregard these wake words when the playback device ultimately plays back the audio content.
As another example, a NMD may receive audio content that has been designated for playback by a playback device. Before the audio content is played back by the playback device, the NMD may run a wake word detection algorithm on the audio content. If any wake words are detected in the audio content, the NMD may cause itself (and possibly other NMDs in the vicinity) to disregard these wake words when they are ultimately played back by the playback device.
An NMD may disregard a wake word using any of a variety of techniques. In some instances, the NMD may be instructed to not detect the wake word as it is played back by the playback device, perhaps by instructing the NMD to stop listening for wake words, by disabling the microphone array of the NMD for a period of time, or by creating a listening NULL in the direction of the playback device, among other examples. Alternatively, the NMD may proceed to initially detect the wake word, but be instructed to suppress its programmed wake response to invoke a voice service in response to detecting the wake word, perhaps by disregarding wake words during certain periods of time or by disregarding all recorded audio during certain periods of time.
When processing the audio content prior to the playback device audibly playing back that audio content, a processing device (such as a playback device or NMD) can also determine what sections of the recorded audio content contain the wake words. These sections can be defined by a time period within the audio content such as a start and stop time for the wake word (e.g., a wake word in a podcast starts at 33:52.543 and ends at 33:54.013). When the audio content is played back, NMDs in the vicinity can be instructed to ignore wake words during these time periods.
As another example, the processing device may count the number of wake words in the audio content (or in a portion of the audio content). For instance, a playback device that is processing the audio content of a commercial might detect four instances of a wake word in that commercial. Then, the playback device may instruct NMDs in the vicinity of the playback device to ignore wake words until they have detected a number of wake words equal to the count (e.g., to ignore the next four wake words).
In other examples, the processing device may dynamically insert an audio tone or other marker in the recorded audio content to designate wake words detected in the audio content. Then, when the audio content is played back by the playback device, a NMD that detects the audio marker in conjunction with the wake word can be instructed to ignore that instance of the wake word. Multiple NMDs in audible range of the playback device may each detect the wake word and ignore the wake word in response to detecting the associated audio marker.
Example techniques may involve disabling wake response of one or more NMDs. A first implementation may include receiving, via a network interface, data representing audio content for playback by the playback device, and before the audio content is played back by the playback device, detecting, in the audio content, one or more wake words for one or more voice services. The first implementation may also include causing one or more networked microphone devices to disable its respective wake response to the detected one or more wake words during playback of the audio content by the playback device, where, when enabled, the wake response of a given networked microphone device to a particular wake word causes the given networked microphone device to listen, via a microphone, for a voice command following the particular wake word. The first implementation may further include playing back the audio content via one or more speakers.
A second implementation may include receiving, via a network interface, data representing audio content for playback by a playback device. The second implementation may also include, before the audio content is played back by the playback device, detecting, in the audio content, one or more wake words for one or more voice services. The second implementation may further include disabling a wake response of the networked microphone device to the detected one or more wake words during playback of the audio content by the playback device, and while the playback device is playing back the audio content, detecting the played back audio content via the microphone.
A third implementation may include receiving, via an interface of the computing system, audio content for playback by one or more playback devices. The third implementation may also include before the audio content is played back by the playback device, detecting, in the audio content, one or more wake words for one or more voice services. The third implementation may further include causing one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device.
A fourth implementation may include receiving, via the network interface, an instruction to disable a wake response of the networked microphone device to one or more wake words. The fourth implementation may also include detecting, via the microphone, audio content being played back by one or more playback devices. The fourth implementation may further include determining that the detected audio content includes one or more wake words and, in response to the received instruction, disabling the wake response of the networked microphone device to the one or more wake words in the detected audio content.
Each of the these example implementations may be embodied as a method, a device configured to carry out the implementation, a system of devices configured to carry out the implementation, or a non-transitory computer-readable medium containing instructions that are executable by one or more processors to carry out the implementation, among other examples. It will be understood by one of ordinary skill in the art that this disclosure includes numerous other embodiments, including combinations of the example features described herein. Further, any example operation described as being performed by a given device to illustrate a technique may be performed by any suitable devices, including the devices described herein. Yet further, any device may cause another device to perform any of the operations described herein.
While some examples described herein may refer to functions performed by given actors such as “users” and/or other entities, it should be understood that this description is for purposes of explanation only. The claims should not be interpreted to require action by any such example actor unless explicitly required by the language of the claims themselves.
Further discussions relating to the different components of the example media playback system 100 and how the different components may interact to provide a user with a media experience may be found in the following sections. While discussions herein may generally refer to the example media playback system 100, technologies described herein are not limited to applications within, among other things, the home environment as shown in
a. Example Playback Devices
In one example, the processor 202 may be a clock-driven computing component configured to process input data according to instructions stored in the memory 206. The memory 206 may be a tangible computer-readable medium configured to store instructions executable by the processor 202. For instance, the memory 206 may be data storage that can be loaded with one or more of the software components 204 executable by the processor 202 to achieve certain functions. In one example, the functions may involve the playback device 200 retrieving audio data from an audio source or another playback device. In another example, the functions may involve the playback device 200 sending audio data to another device or playback device on a network. In yet another example, the functions may involve pairing of the playback device 200 with one or more playback devices to create a multi-channel audio environment.
Certain functions may involve the playback device 200 synchronizing playback of audio content with one or more other playback devices. During synchronous playback, a listener will preferably not be able to perceive time-delay differences between playback of the audio content by the playback device 200 and the one or more other playback devices. U.S. Pat. No. 8,234,395 entitled, “System and method for synchronizing operations among a plurality of independently clocked digital data processing devices,” which is hereby incorporated by reference in its entirety, provides in more detail some examples for audio playback synchronization among playback devices.
The memory 206 may further be configured to store data associated with the playback device 200, such as one or more zones and/or zone groups the playback device 200 is a part of, audio sources accessible by the playback device 200, or a playback queue that the playback device 200 (or some other playback device) may be associated with. The data may be stored as one or more state variables that are periodically updated and used to describe the state of the playback device 200. The memory 206 may also include the data associated with the state of the other devices of the media system, and shared from time to time among the devices so that one or more of the devices have the most recent data associated with the system. Other embodiments are also possible.
The audio processing components 208 may include one or more digital-to-analog converters (DAC), an audio preprocessing component, an audio enhancement component or a digital signal processor (DSP), and so on. In one embodiment, one or more of the audio processing components 208 may be a subcomponent of the processor 202. In one example, audio content may be processed and/or intentionally altered by the audio processing components 208 to produce audio signals. The produced audio signals may then be provided to the audio amplifier(s) 210 for amplification and playback through speaker(s) 212. Particularly, the audio amplifier(s) 210 may include devices configured to amplify audio signals to a level for driving one or more of the speakers 212. The speaker(s) 212 may include an individual transducer (e.g., a “driver”) or a complete speaker system involving an enclosure with one or more drivers. A particular driver of the speaker(s) 212 may include, for example, a subwoofer (e.g., for low frequencies), a mid-range driver (e.g., for middle frequencies), and/or a tweeter (e.g., for high frequencies). In some cases, each transducer in the one or more speakers 212 may be driven by an individual corresponding audio amplifier of the audio amplifier(s) 210. In addition to producing analog signals for playback by the playback device 200, the audio processing components 208 may be configured to process audio content to be sent to one or more other playback devices for playback.
Audio content to be processed and/or played back by the playback device 200 may be received from an external source, such as via an audio line-in input connection (e.g., an auto-detecting 3.5 mm audio line-in connection) or the network interface 214.
The network interface 214 may be configured to facilitate a data flow between the playback device 200 and one or more other devices on a data network. As such, the playback device 200 may be configured to receive audio content over the data network from one or more other playback devices in communication with the playback device 200, network devices within a local area network, or audio content sources over a wide area network such as the Internet. In one example, the audio content and other signals transmitted and received by the playback device 200 may be transmitted in the form of digital packet data containing an Internet Protocol (IP)-based source address and IP-based destination addresses. In such a case, the network interface 214 may be configured to parse the digital packet data such that the data destined for the playback device 200 is properly received and processed by the playback device 200.
As shown, the network interface 214 may include wireless interface(s) 216 and wired interface(s) 218. The wireless interface(s) 216 may provide network interface functions for the playback device 200 to wirelessly communicate with other devices (e.g., other playback device(s), speaker(s), receiver(s), network device(s), control device(s) within a data network the playback device 200 is associated with) in accordance with a communication protocol (e.g., any wireless standard including IEEE 802.11a, 802.11b, 802.11g, 802.11n, 802.11ac, 802.15, 4G mobile communication standard, and so on). The wired interface(s) 218 may provide network interface functions for the playback device 200 to communicate over a wired connection with other devices in accordance with a communication protocol (e.g., IEEE 802.3). While the network interface 214 shown in
In one example, the playback device 200 and one other playback device may be paired to play two separate audio components of audio content. For instance, playback device 200 may be configured to play a left channel audio component, while the other playback device may be configured to play a right channel audio component, thereby producing or enhancing a stereo effect of the audio content. The paired playback devices (also referred to as “bonded playback devices”) may further play audio content in synchrony with other playback devices.
In another example, the playback device 200 may be sonically consolidated with one or more other playback devices to form a single, consolidated playback device. A consolidated playback device may be configured to process and reproduce sound differently than an unconsolidated playback device or playback devices that are paired, because a consolidated playback device may have additional speaker drivers through which audio content may be rendered. For instance, if the playback device 200 is a playback device designed to render low frequency range audio content (i.e. a subwoofer), the playback device 200 may be consolidated with a playback device designed to render full frequency range audio content. In such a case, the full frequency range playback device, when consolidated with the low frequency playback device 200, may be configured to render only the mid and high frequency components of audio content, while the low frequency range playback device 200 renders the low frequency component of the audio content. The consolidated playback device may further be paired with a single playback device or yet another consolidated playback device.
By way of illustration, SONOS, Inc. presently offers (or has offered) for sale certain playback devices including a “PLAY:1,” “PLAY:3,” “PLAY:5,” “PLAYBAR,” “CONNECT:AMP,” “CONNECT,” and “SUB.” Any other past, present, and/or future playback devices may additionally or alternatively be used to implement the playback devices of example embodiments disclosed herein. Additionally, it is understood that a playback device is not limited to the example illustrated in
b. Example Playback Zone Configurations
Referring back to the media playback system 100 of
As shown in
In one example, one or more playback zones in the environment of
As suggested above, the zone configurations of the media playback system 100 may be dynamically modified, and in some embodiments, the media playback system 100 supports numerous configurations. For instance, if a user physically moves one or more playback devices to or from a zone, the media playback system 100 may be reconfigured to accommodate the change(s). For instance, if the user physically moves the playback device 102 from the balcony zone to the office zone, the office zone may now include both the playback device 118 and the playback device 102. The playback device 102 may be paired or grouped with the office zone and/or renamed if so desired via a control device such as the control devices 126 and 128. On the other hand, if the one or more playback devices are moved to a particular area in the home environment that is not already a playback zone, a new playback zone may be created for the particular area.
Further, different playback zones of the media playback system 100 may be dynamically combined into zone groups or split up into individual playback zones. For instance, the dining room zone and the kitchen zone 114 may be combined into a zone group for a dinner party such that playback devices 112 and 114 may render audio content in synchrony. On the other hand, the living room zone may be split into a television zone including playback device 104, and a listening zone including playback devices 106, 108, and 110, if the user wishes to listen to music in the living room space while another user wishes to watch television.
c. Example Control Devices
The processor 302 may be configured to perform functions relevant to facilitating user access, control, and configuration of the media playback system 100. The memory 304 may be configured to store instructions executable by the processor 302 to perform those functions. The memory 304 may also be configured to store the media playback system controller application software and other data associated with the media playback system 100 and the user.
In one example, the network interface 306 may be based on an industry standard (e.g., infrared, radio, wired standards including IEEE 802.3, wireless standards including IEEE 802.11a, 802.11b, 802.11g, 802.11n, 802.11ac, 802.15, 4G mobile communication standard, and so on). The network interface 306 may provide a means for the control device 300 to communicate with other devices in the media playback system 100. In one example, data and information (e.g., such as a state variable) may be communicated between control device 300 and other devices via the network interface 306. For instance, playback zone and zone group configurations in the media playback system 100 may be received by the control device 300 from a playback device or another network device, or transmitted by the control device 300 to another playback device or network device via the network interface 306. In some cases, the other network device may be another control device.
Playback device control commands such as volume control and audio playback control may also be communicated from the control device 300 to a playback device via the network interface 306. As suggested above, changes to configurations of the media playback system 100 may also be performed by a user using the control device 300. The configuration changes may include adding/removing one or more playback devices to/from a zone, adding/removing one or more zones to/from a zone group, forming a bonded or consolidated player, separating one or more playback devices from a bonded or consolidated player, among others. Accordingly, the control device 300 may sometimes be referred to as a controller, whether the control device 300 is a dedicated controller or a network device on which media playback system controller application software is installed.
The user interface 308 of the control device 300 may be configured to facilitate user access and control of the media playback system 100, by providing a controller interface such as the controller interface 400 shown in
The playback control region 410 may include selectable (e.g., by way of touch or by using a cursor) icons to cause playback devices in a selected playback zone or zone group to play or pause, fast forward, rewind, skip to next, skip to previous, enter/exit shuffle mode, enter/exit repeat mode, enter/exit cross fade mode. The playback control region 410 may also include selectable icons to modify equalization settings, and playback volume, among other possibilities.
The playback zone region 420 may include representations of playback zones within the media playback system 100. In some embodiments, the graphical representations of playback zones may be selectable to bring up additional selectable icons to manage or configure the playback zones in the media playback system, such as a creation of bonded zones, creation of zone groups, separation of zone groups, and renaming of zone groups, among other possibilities.
For example, as shown, a “group” icon may be provided within each of the graphical representations of playback zones. The “group” icon provided within a graphical representation of a particular zone may be selectable to bring up options to select one or more other zones in the media playback system to be grouped with the particular zone. Once grouped, playback devices in the zones that have been grouped with the particular zone will be configured to play audio content in synchrony with the playback device(s) in the particular zone. Analogously, a “group” icon may be provided within a graphical representation of a zone group. In this case, the “group” icon may be selectable to bring up options to deselect one or more zones in the zone group to be removed from the zone group. Other interactions and implementations for grouping and ungrouping zones via a user interface such as the user interface 400 are also possible. The representations of playback zones in the playback zone region 420 may be dynamically updated as playback zone or zone group configurations are modified.
The playback status region 430 may include graphical representations of audio content that is presently being played, previously played, or scheduled to play next in the selected playback zone or zone group. The selected playback zone or zone group may be visually distinguished on the user interface, such as within the playback zone region 420 and/or the playback status region 430. The graphical representations may include track title, artist name, album name, album year, track length, and other relevant information that may be useful for the user to know when controlling the media playback system via the user interface 400.
The playback queue region 440 may include graphical representations of audio content in a playback queue associated with the selected playback zone or zone group. In some embodiments, each playback zone or zone group may be associated with a playback queue containing information corresponding to zero or more audio items for playback by the playback zone or zone group. For instance, each audio item in the playback queue may comprise a uniform resource identifier (URI), a uniform resource locator (URL) or some other identifier that may be used by a playback device in the playback zone or zone group to find and/or retrieve the audio item from a local audio content source or a networked audio content source, possibly for playback by the playback device.
In one example, a playlist may be added to a playback queue, in which case information corresponding to each audio item in the playlist may be added to the playback queue. In another example, audio items in a playback queue may be saved as a playlist. In a further example, a playback queue may be empty, or populated but “not in use” when the playback zone or zone group is playing continuously streaming audio content, such as Internet radio that may continue to play until otherwise stopped, rather than discrete audio items that have playback durations. In an alternative embodiment, a playback queue can include Internet radio and/or other streaming audio content items and be “in use” when the playback zone or zone group is playing those items. Other examples are also possible.
When playback zones or zone groups are “grouped” or “ungrouped,” playback queues associated with the affected playback zones or zone groups may be cleared or re-associated. For example, if a first playback zone including a first playback queue is grouped with a second playback zone including a second playback queue, the established zone group may have an associated playback queue that is initially empty, that contains audio items from the first playback queue (such as if the second playback zone was added to the first playback zone), that contains audio items from the second playback queue (such as if the first playback zone was added to the second playback zone), or a combination of audio items from both the first and second playback queues. Subsequently, if the established zone group is ungrouped, the resulting first playback zone may be re-associated with the previous first playback queue, or be associated with a new playback queue that is empty or contains audio items from the playback queue associated with the established zone group before the established zone group was ungrouped. Similarly, the resulting second playback zone may be re-associated with the previous second playback queue, or be associated with a new playback queue that is empty, or contains audio items from the playback queue associated with the established zone group before the established zone group was ungrouped. Other examples are also possible.
Referring back to the user interface 400 of
The audio content sources region 450 may include graphical representations of selectable audio content sources from which audio content may be retrieved and played by the selected playback zone or zone group. Discussions pertaining to audio content sources may be found in the following section.
d. Example Audio Content Sources
As indicated previously, one or more playback devices in a zone or zone group may be configured to retrieve for playback audio content (e.g., according to a corresponding URI or URL for the audio content) from a variety of available audio content sources. In one example, audio content may be retrieved by a playback device directly from a corresponding audio content source (e.g., a line-in connection). In another example, audio content may be provided to a playback device over a network via one or more other playback devices or network devices.
Example audio content sources may include a memory of one or more playback devices in a media playback system such as the media playback system 100 of
In some embodiments, audio content sources may be regularly added or removed from a media playback system such as the media playback system 100 of
e. Example Processing System
In operation, audio input/output component 502 receives, via an input interface, recorded audio content designated for playback by a playback device. For instance, a control device (such as control device 126 or 128 of
As noted above, in some examples, processing system 500 is implemented within a playback device. In such embodiments, the playback device 500 already has access to the audio content necessarily for playback. For instance, the playback device may receive the audio content from a network source (e.g., a streaming media service or a mobile device) via a network interface over one or more types of networks, such as wide area networks (WAN), local area networks (LAN), and personal area networks (PAN), among other possibilities. Alternatively, the playback device may receive the audio content via an analog (e.g., RCA) or digital (e.g., TosLink® or HDMI®) line-in interface.
In other examples, processing system 500 is implemented within a NMD or other processing device that is separate from the playback device. In such embodiments, processing system 500 may receive the audio content via a network interface from the playback device or from the source of the audio content, among other examples. In another example, a line-in interface may provide the audio content directly to the NMD or a playback device may receive the audio content via a line-in interface and relay the content to the processing system 500 over one or more networks.
For instance, processing system 500 may have access to the playback queue of the playback device. As noted above, each audio item in the playback queue may comprise a uniform resource identifier (URI), a uniform resource locator (URL) or some other identifier that may be used by a playback device in the playback zone or zone group to find and/or retrieve the audio item from a local audio content source or a networked audio content source, possibly for playback by the playback device. The processing system 500 may similarly use such an identifier to retrieve audio content from a local audio content source or a networked audio content source, prior to playback by the playback device.
In some implementations, the playback queue is stored in data storage of the playback device. In further implementations, the playback queue is stored on a cloud server. The playback queue stored on the cloud server (i.e., a cloud queue) may be an instance or representation of a playback queue stored on the playback device. The cloud queue may include a playback pointer or other status information representing the current state of playback on the playback device.
In some instances, processing system 500 may convert the received audio content into a format suitable for wake word detection. For instance, if the audio content is provided to the audio/input component 502 via an analog line-in interface, the processing system 500 may digitize the analog audio (e.g., using a software or hardware-based analog-to-digital converter). As another example, if the received audio content is received in a digital form that is unsuitable for analysis, the processing system 500 may transcode the recording into a suitable format.
Wake-word detection component 504 analyzes the received audio content to determine if any wake words are present in the recording. The wake word detection component 504 may analyze the received audio content using a wake word detection algorithm. Example wake word detection algorithms accept an audio recording as input and provide an indication of whether a wake word is present in the recording as output.
In some implementations, the wake word detection component 504 may use the same algorithm on the recording as utilized by NMDs for detecting wake words in audio recorded via a microphone. During typical operation, an example NMD constantly records audio and provides the recorded audio stream into a wake-word detection algorithm, in order to determine if the recorded audio includes a wake word. Here, instead of providing audio that was recorded by the microphone of an NMD to the wake word detection algorithm, the wake word detection component 504 provides the pre-recorded audio content designated for playback.
During analysis, the wake word detection component 504 additionally determines where each wake word occurs in the received audio content. For instance, the wake word detection component 504 may divide the received audio content into segments of known length. Then, the wake word detection component 504 can determine where in the recording that the wake-word occurs by identifying the segment that the wake word was detected. For example, if each segment is 5 seconds long and the wake word was detected in the fourth segment, the wake word must be located between 15 and 20 seconds into the recording. The wake word detection component 504 may record the portions of the audio content containing a wake word, perhaps using one or more timestamps (e.g., a time stamp indicating a start time for the wake-word, and perhaps another timestamp indicating a stop time for that wake word). Such time stamps may define respective time offsets from the start of an audio recording or from another particular position in the audio recording. In some instances, the wake word detection component 504 may separate the audio recording into overlapping segments, to avoid breaking apart a wake word into unrecognizable portions. Other techniques for determining the location of a wake word within the audio recording can be utilized as well.
Within examples, processing system 500 may buffer the received audio content in memory. For instance, processing system 500 may store the received audio content in a first-in-first-out buffer (e.g., a circular buffer). In such implementations, portions of the received audio are stored in the buffer when they are received, and are removed as they are processed to determine if the received audio content contains wake words.
In some instances, the wake word detection component 504 runs multiple wake word detections algorithms on the received audio content simultaneously (or substantially simultaneously). As noted above, different voice services (e.g. AMAZON's ALEXA®, APPLE's SIRI®, or MICROSOFT's CORTANA®) each use a different wake word for invoking their respective voice service. To support multiple services, the wake word detection component 504 may run the received audio content through the wake word detection algorithm for each supported voice service in parallel.
If one or more wake words are detected in the audio content, notification component 506 notifies one or more NMDs (e.g., NMDs 132 and/or 134 of
In some instances, the notification component 506 may prevent a NMD from detecting the wake word as it is played back by the playback device. For instance, the notification component 506 may instruct the NMD to stop listening for wake words (e.g., to stop processing recorded audio) for a period of time. Alternatively, the notification component 506 may instruct the NMD to disable its microphone array temporarily (e.g., during the period of time corresponding to when the wake words are expected to be played by the playback device). As yet another example, the notification component 506 may instruct the NMD to create a listening NULL in the direction of the playback device using its microphone array, so that the NMD does not detect the wake word. Other examples are possible as well.
Alternatively, the NMD may detect the wake word, but the notification component 506 instructs the NMD to suppress its programmed wake response to invoke a voice service in response to detecting the wake word. For instance, the notification component 506 may instruct the NMD to disregard wake words during certain periods of time or to disregard all audio during certain periods of time. Other examples are possible as well.
When processing the audio content prior to the playback device audibly playing back that audio content, a processing device (such as a playback device or NMD) can also determine what sections of the recorded audio content contain the wake words. These sections can be defined by a time period within the audio content such as a start and stop time for the wake word (e.g., a wake word in a podcast starts at 33:52.543 and ends at 33:54.013). When the audio content is played back, NMDs in the vicinity can be instructed to ignore wake words during these time periods.
As another example, the processing system 500 may count the number of wake words in the audio content (or in a portion of the audio content). For instance, the processing system 500 might detect three wake words in an example audio content (e.g., a television show). As noted above, such instances may include any combination of wake words, including different wake words for different voice services. Then, the processing system 500 may instruct NMDs in the vicinity to ignore wake words until they have detected a number of wake words equal to the count (e.g., to ignore the next three wake words).
In other examples, processing system 500 may dynamically insert an audio tone or other marker in the recorded audio content to designate wake words detected in the audio content. Then, when the audio content is played back by the playback device, a NMD that detects the audio marker in conjunction with the wake word can be instructed to ignore that instance of the wake word. If multiple NMDs are in audible range of the playback device, each NMD that detect a wake word may ignore it in response to detecting the associated audio marker. In some cases, the audio marker is composed of audio frequencies that are outside the range of human hearing (e.g., above 20 kHz), so that the inserted tone is not noticeable by human listeners.
In some implementations, processing system 500 operates as an intermediary between a source of audio content and the playback device. For instance, in implementations where the processing system 500 notifies NMDs using an audio marker, the processing system modifies the audio content designated for playback by the playback device. In such implementations, the processing system 500 may receive the audio content from an audio source (e.g., via a network or line-in interface), analyze the audio content, and provide the modified audio content to the playback device for playback, perhaps via a network interface.
Alternatively, as noted above, processing system 500 is implemented in the playback device itself. In such instances, after analyzing the audio content, the playback device may proceed to play back the audio content. Further, as noted above, in some cases, the playback device may be configured to play back audio content in synchrony with one or more additional playback devices (e.g., in a zone group, stereo pair, or surround sound configuration). In such circumstances, the playback device may provide the (possibly modified) audio content to the one or more additional playback devices, perhaps via a network interface.
In further examples, processing system 500 is implemented in a NMD. In such instances, processing system 500 may cause the NMD itself to ignore the wake words in audio content when it is played back. Further, the NMD may instruct other NMDs to ignore the wake word. For instance, NMD 132 may instruct NMD 134 to ignore the wake word. Further, if a NMD is implemented in a playback device (e.g., playback device 104), the NMD/playback device may instruct other NMD's (which may themselves be implemented in playback devices) to ignore the wake words.
f. Example Plurality of Networked Devices
Each of the plurality of devices 600 may be network-capable devices that can establish communication with one or more other devices in the plurality of devices according to one or more network protocols, such as NFC, Bluetooth, Ethernet, and IEEE 802.11, among other examples, over one or more types of networks, such as wide area networks (WAN), local area networks (LAN), and personal area networks (PAN), among other possibilities.
As shown, the computing devices 604, 606, and 608 may be part of a cloud network 602. The cloud network 602 may include additional computing devices. In one example, the computing devices 604, 606, and 608 may be different servers. In another example, two or more of the computing devices 604, 606, and 608 may be modules of a single server. Analogously, each of the computing device 604, 606, and 608 may include one or more modules or servers. For ease of illustration purposes herein, each of the computing devices 604, 606, and 608 may be configured to perform particular functions within the cloud network 602. For instance, computing device 608 may be a source of audio content for a streaming music service.
As shown, the computing device 604 may be configured to interface with NMDs 612, 614, and 616 via communication path 642. NMDs 612, 614, and 616 may be components of one or more “Smart Home” systems. In one case, NMDs 612, 614, and 616 may be physically distributed throughout a household, similar to the distribution of devices shown in
In one example, one or more of the NMDs 612, 614, and 616 may be devices configured primarily for audio detection. In another example, one or more of the NMDs 612, 614, and 616 may be components of devices having various primary utilities. For instance, as discussed above in connection to
As shown, the computing device 606 may be configured to interface with CR 622 and PBDs 632, 634, 636, and 638 via communication path 644. In one example, CR 622 may be a network device such as the network device 200 of
In one example, as with NMDs 612, 614, and 616, CR 622 and PBDs 632, 634, 636, and 638 may also be components of one or more “Smart Home” systems. In one case, PBDs 632, 634, 636, and 638 may be distributed throughout the same household as the NMDs 612, 614, and 616. Further, as suggested above, one or more of PBDs 632, 634, 636, and 638 may be one or more of NMDs 612, 614, and 616.
The NMDs 612, 614, and 616 may be part of a local area network, and the communication path 642 may include an access point that links the local area network of the NMDs 612, 614, and 616 to the computing device 604 over a WAN (communication path not shown). Likewise, each of the NMDs 612, 614, and 616 may communicate with each other via such an access point.
Similarly, CR 622 and PBDs 632, 634, 636, and 638 may be part of a local area network and/or a local playback network as discussed in previous sections, and the communication path 644 may include an access point that links the local area network and/or local playback network of CR 622 and PBDs 632, 634, 636, and 638 to the computing device 606 over a WAN. As such, each of the CR 622 and PBDs 632, 634, 636, and 638 may also communicate with each over such an access point.
In one example, communication paths 642 and 644 may comprise the same access point. In an example, each of the NMDs 612, 614, and 616, CR 622, and PBDs 632, 634, 636, and 638 may access the cloud network 602 via the same access point for a household.
As shown in
In one example, CR 622 may communicate with NMD 612 over Bluetooth™, and communicate with PBD 634 over another local area network. In another example, NMD 614 may communicate with CR 622 over another local area network, and communicate with PBD 636 over Bluetooth. In a further example, each of the PBDs 632, 634, 636, and 638 may communicate with each other according to a spanning tree protocol over a local playback network, while each communicating with CR 622 over a local area network, different from the local playback network. Other examples are also possible.
In some cases, communication means between the NMDs 612, 614, and 616, CR 622, and PBDs 632, 634, 636, and 638 may change depending on types of communication between the devices, network conditions, and/or latency demands. For instance, communication means 646 may be used when NMD 616 is first introduced to the household with the PBDs 632, 634, 636, and 638. In one case, the NMD 616 may transmit identification information corresponding to the NMD 616 to PBD 638 via NFC, and PBD 638 may in response, transmit local area network information to NMD 616 via NFC (or some other form of communication). However, once NMD 616 has been configured within the household, communication means between NMD 616 and PBD 638 may change. For instance, NMD 616 may subsequently communicate with PBD 638 via communication path 642, the cloud network 602, and communication path 644. In another example, the NMDs and PBDs may never communicate via local communications means 646. In a further example, the NMDs and PBDs may communicate primarily via local communications means 646. Other examples are also possible.
In an illustrative example, NMDs 612, 614, and 616 may be configured to receive voice inputs to control PBDs 632, 634, 636, and 638. The available control commands may include any media playback system controls previously discussed, such as playback volume control, playback transport controls, music source selection, and grouping, among other possibilities. In one instance, NMD 612 may receive a voice input to control one or more of the PBDs 632, 634, 636, and 638. In response to receiving the voice input, NMD 612 may transmit via communication path 642, the voice input to computing device 604 for processing. In one example, the computing device 604 may convert the voice input to an equivalent text command, and parse the text command to identify a command. Computing device 604 may then subsequently transmit the text command to the computing device 606. In another example, the computing device 604 may convert the voice input to an equivalent text command, and then subsequently transmit the text command to the computing device 606. The computing device 606 may then parse the text command to identify one or more playback commands.
For instance, if the text command is “Play ‘Track 1’ by ‘Artist 1’ from ‘Streaming Service 1’ in ‘Zone 1’,” The computing device 606 may identify (i) a URL for “Track 1” by “Artist 1” available from “Streaming Service 1,” and (ii) at least one playback device in “Zone 1.” In this example, the URL for “Track 1” by “Artist 1” from “Streaming Service 1” may be a URL pointing to computing device 608, and “Zone 1” may be the bonded zone 630. As such, upon identifying the URL and one or both of PBDs 636 and 638, the computing device 606 may transmit via communication path 644 to one or both of PBDs 636 and 638, the identified URL for playback. One or both of PBDs 636 and 638 may responsively retrieve audio content from the computing device 608 according to the received URL, and begin playing “Track 1” by “Artist 1” from “Streaming Service 1.”
In yet another example, the computing device 604 may perform some processing to identify the relevant command or intent of the user and provide information regarding media content relevant to the voice input to the computing device 606. For example, the computing device 604 may perform the speech-to-text conversion of the voice input and analyze the voice input for a command or intent (e.g., play, pause, stop, volume up, volume down, skip, next, group, ungroup) along with other information about how to execute the command. The computing device 604 or the computing device 606 may determine what PBD commands correspond to the command or intent determined by the computing device 604. The command or intent determined from the voice input and/or other information related to executing the command may be transmitted from the computing device 604 to the computing device 606. The processing on the computing device 604 may be performed by an application, a module, add-on software, an integration with the native networked microphone system software platform, and/or the native networked microphone system software platform.
One having ordinary skill in the art will appreciate that the above is just one illustrative example, and that other implementations are also possible. In one case, operations performed by one or more of the plurality of devices 600, as described above, may be performed by one or more other devices in the plurality of device 600. For instance, the conversion from voice input to the text command may be alternatively, partially, or wholly performed by another device or devices, such as NMD 612, computing device 606, PBD 636, and/or PBD 638. Analogously, the identification of the URL may be alternatively, partially, or wholly performed by another device or devices, such as NMD 612, computing device 604, PBD 636, and/or PBD 638.
f. Example Network Microphone Device
The processor 702 may include one or more processors and/or controllers, which may take the form of a general or special-purpose processor or controller. For instance, the processing unit 702 may include microprocessors, microcontrollers, application-specific integrated circuits, digital signal processors, and the like. The memory 704 may be data storage that can be loaded with one or more of the software components executable by the processor 702 to perform those functions. Accordingly, memory 704 may comprise one or more non-transitory computer-readable storage mediums, examples of which may include volatile storage mediums such as random access memory, registers, cache, etc. and non-volatile storage mediums such as read-only memory, a hard-disk drive, a solid-state drive, flash memory, and/or an optical-storage device, among other possibilities.
The microphone array 706 may be a plurality of microphones arranged to detect sound in the environment of the network microphone device 700. Microphone array 706 may include any type of microphone now known or later developed such as a condenser microphone, electret condenser microphone, or a dynamic microphone, among other possibilities. In one example, the microphone array may be arranged to detect audio from one or more directions relative to the network microphone device. The microphone array 706 may be sensitive to a portion of a frequency range. In one example, a first subset of the microphone array 706 may be sensitive to a first frequency range, while a second subset of the microphone array may be sensitive to a second frequency range. The microphone array 706 may further be arranged to capture location information of an audio source (e.g., voice, audible sound) and/or to assist in filtering background noise. Notably, in some embodiments the microphone array may consist of only a single microphone, rather than a plurality of microphones.
The network interface 708 may be configured to facilitate wireless and/or wired communication between various network devices, such as, in reference to
The user interface 710 of the network microphone device 700 may be configured to facilitate user interactions with the network microphone device. In one example, the user interface 708 may include one or more of physical buttons, graphical interfaces provided on touch sensitive screen(s) and/or surface(s), among other possibilities, for a user to directly provide input to the network microphone device 700. The user interface 710 may further include one or more of lights and the speaker(s) 714 to provide visual and/or audio feedback to a user. In one example, the network microphone device 700 may further be configured to playback audio content via the speaker(s) 714.
As discussed above, embodiments described herein may involve disabling a wake response.
a. Receive Data Representing Audio Content for Playback
At block 802, implementation 802 involves receiving data representing audio content for playback. For instance, a playback device may receive audio content for playback by the playback device. Example playback devices include any of playback devices 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 112, and 124 shown in
Example audio content includes one or more audio tracks, a talk show, a film, a television show, a podcast, an Internet streaming video, among many possible other forms of audio content. The audio content may include audio content that is accompanied by video (e.g., an audio track of a video) or audio that is unaccompanied by video.
The playback device may receive the audio content via an input interface, which may be a wired or wireless network interface or an analog or digital line-in interface, among other examples. For instance, the playback device may receive the audio content from a network source via a network interface over one or more types of networks, such as wide area networks (WAN), local area networks (LAN), and personal area networks (PAN), among other possibilities.
The playback device may receive the data representing the audio content from a local or remote audio source. For instance, the playback device may receive the audio content from a local media server or other device on a local area network, from a medium (such as a CD, DVD, Blu-Ray, flash memory, or hard drive) that is read by the playback device or by another device in communication with the playback device (e.g., over a local area network via a network interface), or from data storage on the playback device itself. The playback device may receive the audio content as an audio content stream, perhaps from one or more cloud servers. For instance, the playback device may retrieve an audio content stream from a URL via a network interface. Alternatively, the playback device may receive the audio content from a line-in interface on the playback device or on another device in communication with the playback device (e.g., over a local area network via a network interface).
In some cases, the playback device may receive audio content in analog format, perhaps via an analog line-in interface. In such instances, the playback device digitizes the analog audio (e.g., using a software or hardware-based analog-to-digital converter) into a format suitable for processing. Alternatively, a device in communication with the playback device may receive audio content in analog format, digitize the audio content, and transmit data representing the audio content to the playback device.
As noted above, the received audio content is designed for playback by the playback device. For instance, a control device (such as control device 126 or 128 of
Within examples, the playback device may store at least a portion of the received audio content in memory. For instance, the playback device may buffer received audio content in a first-in-first-out buffer (e.g., a circular buffer). In such implementations, portions of the received audio are stored in the buffer when they are received, and are removed as they are processed which enables the playback device to determine if the received audio content contains wake words.
b. Detect, in the Audio Content, One or More Wake Words
Referring back to
The playback device may analyze the received audio content using one or more wake word detection algorithms. Example wake word detection algorithms accept an audio recording as input and provide an indication of whether a wake word is present in the recording as output. Many first- and third-party wake word detection algorithms are known and commercially available. For instance, operators of a voice service may make their algorithm available for use in third-party devices. Alternatively, an algorithm may be trained to detect certain wake-words.
In some implementations, the playback device may use the same or similar algorithm on the received data representing the audio content as utilized by NMDs for detecting wake words in audio recorded via a microphone. In such a manner, the playback device may detect the same or similar wake words in the audio content as a NMD would detect if the audio content was played back in audible range of the NMDs. However, given that NMDs typically run wake word detection algorithms on microphone-recorded audio that was spoken by a wide variety of human voices in varying environmental conditions (e.g., possibly a noisy household), a wake word algorithm operating on received audio content without such variability may be even more effective in detecting wake words.
During analysis, the playback device may determine where each wake word occurs in the received audio content. After identifying the portions of the audio content that are determined to include a wake word, the playback device may note these portions of the audio content using one or more timestamps (e.g., a time stamp indicating a start time for the wake-word, and perhaps another timestamp indicating a stop time for that wake word). Ultimately, these time-stamps may be used to disable the wake-response of one or more NMDs to the wake-words corresponding to each time-stamp.
In one example, the playback device may divide the received audio content into segments of known length. Then, the playback device identifies the portion(s) of the audio content—i.e., the segments—that include a wake word by identifying the segment(s) in which the wake word(s) were detected. For example, if each segment is 3 seconds long and the wake word was detected in the fourth segment, the wake word is located between 9 and 12 seconds into the recording. In some instances, the playback device may separate the audio recording into overlapping segments, to avoid breaking apart a wake word into unrecognizable portions (e.g., one section representing “Hey” and another segment representing “Siri”). Other techniques for determining the location of a wake word within the audio recording can be utilized as well.
In some instances, the playback device runs multiple wake word detections algorithms on the received audio content simultaneously (or substantially simultaneously). As noted above, different voice services (e.g. AMAZON's ALEXA®, APPLE's SIRED, or MICROSOFT's CORTANA®) may each use a different wake word for invoking their respective voice service. Further, some voice services may allow user selection of a preferred wake word or to configure a custom wake word. To support multiple services (and/or different wake words), the playback device may run the received audio content through the wake word detection algorithm for each supported voice service in parallel. For instance, the playback device may apply, to the audio content before the audio content is played back by the playback device, a first audio detection algorithm for a first voice service to detect at least one first wake word for the first voice service and apply, to the audio content before the audio content is played back by the playback device, a second audio detection algorithm for a second voice service to detect at least one second wake word for the second voice service. The playback device may apply additional audio detection algorithms to the audio content as well, possibly for respective voice services.
c. Cause One or More NMDs to Disable its Respective Wake Response to the Detected One or More Wake Words During Playback of the Audio Content
In
As noted above, the wake response of an NMD refers to its programmed response to detecting a wake word. When a wake response is enabled, in response to detecting a wake word, the wake response of an NMD causes the NMD to listen, via a microphone, for a voice command following the particular wake word. The NMD invokes a voice service to carry out the voice command. However, when the wake response is disabled, the NMD might not listen for the voice command and will not invoke the voice service to carry out the voice command.
In some implementations, the playback device itself includes an NMD (e.g., NMD 700 is implemented within the playback device). In such implementations, the playback device disables the wake response of its own NMD to the detected one or more wake-words while the playback device is playing back the audio content. For instance, an instance of processing system 500 implemented in the playback device may notify the NMD of the one or more wake-words and their corresponding playback times, so as to cause the NMD to disable the wake response the NMD to the detected one or more wake-words. For instance, the processing system may notify the NMD by changing a flag in RAM to disable the wake response, or by messaging the NMD using an internal communications bus, among other examples. Then, while playing back the audio content, the NMD of the playback device may record, via a microphone, the audio content being played back by the playback device, and disable respective wake responses of the NMD to one or more wake words within the recorded audio content.
Within example implementations, the playback device may cause all networked microphone devices within a household to disable their respective wake responses. For instance, playback device 104 shown in
Alternatively, the playback device may cause a subset of NMDs within a household to disable their respective wake responses. For instance, the playback device may cause NMDs within audible range of the playback device to disable their respective wake responses. Alternatively, the playback device may cause NMDs that have been associated with the playback device to disable their respective wake responses.
Audible range may be determined using any suitable technique. In some implementations, audible range is established based on a playback configuration of the playback device. For instance, if the playback device is in a synchronous playback configuration with one or more playback devices, these playback devices may be assumed to be in audible range of the playback device. Accordingly, if any of these playback devices implement an NMD, the respective wake-responses of these playback devices are disabled. The playback device may determine that such NMDs are in audible range of the playback devices by referring to a configuration of the playback device, which may be stored in one or more state variables that are synchronized across playback devices in the household.
In other examples, audible range is established during a set-up procedure (e.g. a calibration procedure). During such a set-up procedure, NMDs within the household may be instructed to listen for an audio signal (e.g., a tone) that is played back by playback devices in the household. If an NMD can detect the audio signal via its microphone, that NMD can be assumed to be within audible range. Playback devices within the household may be instructed to cycle through playback of the audio signal at different volumes, so as to determine the sets of NMDs that are in audible range of each playback device at any given volume level. Example calibration procedures may involve output of a calibration sound, which may also serve as the audio signal to be detected by NMDs within the household.
To illustrate, during an example set-up procedure, control device 126 of
In other examples, a NMD may be paired with one or more playback devices based on a known physical proximity. For instance, referring back to
Other examples for determining the presence of NMDs that are in proximity to playback devices of a media playback system are described in: application. Ser. No. 15/098,867 filed on Apr. 14, 2016, titled “Default Playback Device Designation;” application. Ser. No. 15/098,892 filed on Apr. 14, 2016, titled “Default Playback Devices;” application. Ser. No. 15/237,133, titled “Audio Response Playback;” and application. Ser. No. 15/229,855 filed on Aug. 5, 2016, titled “Determining Direction of Networked Microphone Device Relative to Audio Playback Device.” Each of these applications are incorporated by reference in their entirety.
As suggested above, in some cases, the playback device is configured to play back audio in synchrony with one or more additional playback devices, perhaps in a zone group, stereo pair, or surround sound configuration. Such configurations may extend the audible range of the playback device, as any NMD in audible range of the playback device or any of the one or more additional playback devices may falsely trigger in response to wake words in audio content played back by these playback devices in synchrony. As such, if the playback device is currently in a synchronous playback configuration with one or more additional playback devices, the playback device may disable the respective wake responses of NMDs that are in audible range or otherwise associated with these additional playback devices.
In some implementations, the playback device causes the one or more NMDs to disable its respective wake response to the detected one or more wake words by sending, via a network interface to the one or more NMDs, instructions that cause the one or more NMDs to disable their respective wake responses during playback of the received audio content. As noted above, various devices of a media playback system (e.g., control devices, playback devices, and NMDs) may be interconnected via a local area network (e.g., via a local area networked formed by wired or wireless network router 130 of
In some examples, such instructions may prevent the one or more NMDs from detecting the wake word as it is played back by the playback device. For instance, the playback device may instruct one or more NMDs to stop listening for wake words (e.g., to stop processing recorded audio) for one or more period of times (i.e., the periods of time corresponding to when the wake words will be played back by the playback device, perhaps notated by time-stamps). Alternatively, the playback device may instruct the one or more NMDs to disable their respective microphones temporarily (e.g., during the period of times noted above). As yet another example, the playback device may instruct the one or more NMDs to create a listening NULL in the direction of the playback device using its microphone array, so that the NMDs do not detect the wake word. Other examples are possible as well. For instance, shortly before the playback device plays a portion of the audio content containing a wake-word, the playback device may send a first message instructing the one or more NMDs to disable wake word detection. Then, shortly after the playback device plays the portion of the audio content containing the wake-word, the playback device may send a second message instructing the one or more NMDs to enable wake word detection.
To illustrate,
The instructions may be transmitted using two or more Ethernet packets (e.g., two or more of message 900). For instance, the instructions to one NMD may be divided across the payloads of two or more instances of messages 900. Further, instructions to multiple NMDs may each be sent in one or more respective instances of message 900. Other examples are possible as well.
By way of example,
In a further example, the one or more NMDs may detect the wake word, but the playback device instructs the one or more NMDs to suppress its wake response. For instance, the playback device may instruct the one or more NMDs to disregard wake words during certain periods of time or to disregard all audio during certain periods of time. Other examples are possible as well.
As another example, the playback device may count the number of wake words in the audio content (or in a portion of the audio content). For instance, the playback device might detect three wake words in an example audio content. As noted above, such instances may include any combination of wake words, including different wake words for different voice services. Then, the playback device may instruct the one or more NMDs in the vicinity to ignore wake words until they have detected a number of wake words equal to the count (e.g., to ignore the next three wake words).
Alternatively, the playback device causes the one or more NMDs to disable its respective wake response to the detected one or more wake words by dynamically modifying the audio content to incorporate acoustic markers in segments of the audio content. For instance, the playback device may insert (e.g., mix in) in an audio tone or other marker in the recorded audio content to designate wake words detected in the audio content. Then, NMDs can be instructed or pre-programmed to ignore an instance of a wake word if they detect the audio marker in association with the wake word (e.g., shortly before, or concurrently with the wake word). Using such a technique, NMDs in audible range of the playback device need not be pre-determined or estimated. Rather, since the acoustic marker(s) are played back with the audio content, NMDs that are in audible range to detect the audio content (and, as such, may be falsely triggered by this content) are also in range to detect the acoustic marker(s) and responsively disable their wake response. If multiple NMDs are in audible range of the playback device, each NMD that detects a wake word responsively disables its wake response to the wake word in response to detecting the associated acoustic marker.
d. Play Back the Audio Content
In
As noted above, in some instances, the playback device is configured into a synchronous playback configuration with one or more additional playback devices. In such instances, playing back the audio content involves playing back the audio content in synchrony with the one or more additional playback devices. In some playback configurations (e.g., stereo pair or surround), each playback device in the playback configuration plays back a portion of the audio content in synchrony with the other playback devices in the playback configuration.
In some implementations, the playback device provides the audio content to one or more additional playback devices for playback to facilitate synchronous playback of that audio content with the playback device. In such implementations, the playback device may operate as a group coordinator for the synchrony group including the playback device and the one or more additional playback devices. As group coordinator, the playback device may additionally provide timing information to the one or more additional playback devices to facilitate the synchrony group scheduling synchronous playback. The playback device provides the audio content and/or the timing information via a network interface.
As noted above, in some cases, the playback device modifies the audio content to include acoustic markers. In such embodiments, if the playback device is in a synchrony group, the playback device may provide the modified audio content to other playback devices in the synchrony group. Each playback device in the synchrony group may then play back the modified audio content in synchrony with the other playback devices in the group.
To illustrate, in one example, playback devices 114 and 122 and 124 are in a zone group (i.e., a Kitchen+Master Bedroom zone group) that is configured to play back audio content in synchrony. After detecting wake words in audio content designated for playback by the zone group, playback device 114 may modify the audio content to include acoustic markers to designate the wake words in the audio content. Playback device 114 may then provide the modified audio content to playback device 122 and/or 124, so as to facilitate synchronous playback of the modified audio content.
As discussed above, embodiments described herein may involve disabling a wake response.
a. Receive Data Representing Audio Content for Playback
At block 1102, implementation 1100 involves receiving data representing recorded audio content. For instance, NMD may receive audio content for playback by a playback device. Example NMDs include any of NMDS 132 and 134 shown in
The NMD may receive the audio content via an input interface, which may be a wired or wireless network interface or an analog or digital line-in interface, among other examples. For instance, the NMD may receive the audio content from a network source via a network interface over one or more types of networks, such as WANs, LANs, and PANs, among other possibilities.
The NMD may receive the data representing the audio content from a local or remote audio source. For instance, the NMD may receive the audio content from a local media server or other device on a local area network, from a medium (such as a CD, DVD, Blu-Ray, flash memory, or hard drive) that is read by the NMD or by another device in communication with the NMD (e.g., a playback device that is connected to the NMD over a local area network via a network interface), or from data storage on the NMD itself.
The NMD may receive the audio content as an audio content stream, perhaps from one or more cloud servers. For instance, the NMD may retrieve an audio content stream from a URL via a network interface. Alternatively, the NMD may receive the audio content from a line-in interface on the NMD or on another device in communication with the NMD (e.g., a playback device that is connected to the NMD over a local area network via a network interface).
In some cases, the NMD may receive audio content in analog format, perhaps via an analog line-in interface. In such instances, the NMD digitizes the analog audio (e.g., using a software or hardware-based analog-to-digital converter) into a format suitable for processing. Alternatively, a device in communication with the NMD (e.g., a playback device) may receive audio content in analog format, digitize the audio content, and transmit data representing the audio content to the playback device.
As noted above, the received audio content is designed for playback by a playback device. For instance, a control device (such as control device 126 or 128 of
In some cases, the received audio content is designed for playback by two or more playback devices. For instance, two or more playback devices may be configured into a synchrony group (e.g., a zone group, stereo pair, or surround sound configuration). A particular audio content may be designated for playback by this synchrony group.
Within examples, processing system 500 may store at least a portion of the received audio content in memory. For instance, processing system 500 may buffer received audio content in a first-in-first-out buffer (e.g., a circular buffer). In such implementations, portions of the received audio are stored in the buffer when they are received, and are removed as they are processed to which enables the playback device to determine if the received audio content contains wake words.
b. Detect, in the Audio Content, One or More Wake Words
In
The NMD may analyze the received audio content using one or more wake word detection algorithms. Example wake word detection algorithms accept an audio recording as input and provide an indication of whether a wake word is present in the recording as output. Many first- and third-party wake word detection algorithms are known and commercially available. For instance, operators of a voice service may make their algorithm available for use in third-party devices. Alternatively, an algorithm may be trained to detect certain wake-words.
In regular operation, a NMD will listen for sound (e.g., human voices) in a household or other environment via a microphone and run audio recordings of that sound through a wake word detection algorithm to detect if the sound contained a wake word. In this process, the NMD may use the same or similar algorithm as used by the NMD for detecting wake words spoken by human voices. However, instead of the input to the algorithm being audio recorded via a microphone, the input is audio content for playback by a playback device. In such a manner, the NMD may detect the same or similar wake words in the audio content as a NMD would detect if the audio content was played back in audible range of the NMDs. However, given that NMDs typically run wake word detection algorithms on microphone-recorded audio that was spoken by a wide variety of human voices in varying environmental conditions (e.g., possibly a noisy household), a wake word algorithm operating on received audio content without such variability may be even more effective in detecting wake words.
During analysis, the NMD may determine where each wake word occurs in the received audio content. After identifying the portions of the audio content that are determined to include a wake word, the NMD may note these portions of the audio content using one or more timestamps (e.g., a time stamp indicating a start time for the wake-word, and perhaps another timestamp indicating a stop time for that wake word). Ultimately, these time-stamps may be used to disable the wake-response of the NMDs to the wake-words corresponding to each time-stamp.
In one example, the NMD may divide the received audio content into segments of known length. Then, the NMD may identify the portion(s) of the audio content—i.e., the segments—that include a wake word by identifying the segment(s) in which the wake word(s) were detected. For example, if each segment is 4 seconds long and the wake word was detected in the sixth segment, the wake word is located between 20 and 24 seconds into the recording. In some instances, the NMD may separate the audio recording into overlapping segments, to avoid breaking apart a wake word into unrecognizable portions (e.g., one section representing “Hey” and another segment representing “Alexa”). Other techniques for determining the location of a wake word within the audio recording can be utilized as well.
In some instances, the NMD runs multiple wake word detections algorithms on the received audio content concurrently. As noted above, different voice services (e.g. AMAZON's ALEXA®, APPLE's SIRI®, or MICROSOFT's CORTANA®) may each use a different wake word for invoking their respective voice service. Further, each voice service may support multiple wake words and/or custom wake words. To an effort to support multiple voice services, the NMD may run the received audio content through the wake word detection algorithm for each supported voice service in parallel, so as to detect different wake words that might be represented in the audio content. For instance, the NMD may apply a first audio detection algorithm for a first voice service to detect at least one first wake word for the first voice service and apply a second audio detection algorithm for a second voice service to detect at least one second wake word for the second voice service. Before the audio content is played back by the playback device, the NMD may apply additional audio detection algorithms to the audio content as well, possibly for respective voice services.
c. Disable Wake Response to the Detected One or More Wake Words During Playback of the Audio Content
In
As noted above, the wake response of an NMD refers to its programmed response to detecting a wake word. When a wake response is enabled, in response to detecting a wake word, the wake response of an NMD causes the NMD to listen, via a microphone, for a voice command following the particular wake word. The NMD invokes a voice service to carry out the voice command. However, when the wake response is disabled, the NMD might not listen for the voice command and will not invoke the voice service to carry out the voice command.
In some implementations, the NMD disables its wake response by preventing the NMD from detecting the wake word as it is played back by the playback device. For instance, the NMD may stop listening for wake words (e.g., to stop processing recorded audio) for one or more period of times (i.e., the periods of time corresponding to when the wake words will be played back by the playback device, perhaps notated by time-stamps). Alternatively, the NMD may disable its microphone temporarily (e.g., during the period of times noted above). As yet another example, the NMD may create a listening NULL in the direction of the playback device using its microphone array, so that the NMD does not detect the wake word. Other examples are possible as well.
In further examples, the NMD detects the wake word as it is played back by the playback device, but suppresses its wake response to that detected wake word. For instance, the NMD may disregard wake words during periods of time or to disregard all audio during certain periods of time. Other examples are possible as well.
As another example, the NMD may count the number of wake words in the audio content (or in a portion of the audio content). For instance, the NMD might detect three wake words in an example audio content. As noted above, such instances may include any combination of wake words, including different wake words for different voice services. Then, the NMD may then disable its wake response until it detected a number of wake words equal to the count (e.g., by ignoring the next three wake words).
Alternatively, the NMD disable its respective wake response to the detected one or more wake words by modifying the audio content to incorporate acoustic markers in segments of the audio content. For instance, the NMD may insert (e.g., mix in) in an audio tone or other marker in the recorded audio content to designate wake words detected in the audio content. Then, given that the NMD is programmed to disable its wake response in response to detecting such an audio marker, the NMD will automatically suppress the wake response when detecting the wake words in the audio content played back by the playback device.
In some examples, the NMD may cause one or more additional networked microphone devices to disable their respective wake responses to the detected wake word(s) when the wake word(s) are played back by the playback device. For instance, referring to
The NMD may disable a particular set of NMDs within a household. In some cases, the set of NMDs that have their wake responses disabled is based on a zone or zone group configuration of a media playback system. For instance, if the NMD is associated with a particular zone, (e.g., if NMD 132 is associated with the Kitchen zone), the NMD may cause the respective wake responses of any NMDs that are also associated with that same zone to be disabled. These NMDs can include various devices that implement NMDs (e.g., playback devices), as well as dedicated NMDs. Further, if the particular zone that the NMD is associated with is joined with one or more additional zones in a zone group, the NMD may cause the respective wake responses of any NMDs that are also associated with the one or more additional zone to be also disabled. As indicated above, an association may be created between a NMD and a zone of a media playback system, perhaps to facilitate co-operation in a specific room of a household (e.g., a Kitchen zone).
Alternatively, the particular additional NMDs that have their wake responses disabled is based on the audible range of the playback device(s) that are playing back the audio content that includes the wake words. Audible range may be determined using any suitable technique. In some implementations, audible range is established based on an association of the NMD with one or more zones, as indicated above. In other examples, audible range is established during a set-up procedure (e.g. a calibration procedure), as described above in section III. Audible range established by zone configurations and/or set-up procedures can be stored as one or more state variables and shared among devices within a network (e.g., a LAN established by router 130 in the household shown in
To illustrate, in one example, NMD 132 in
In another example, NMD 134 in
The NMD may cause the one or more additional NMDs to disable their respective wake responses using any suitable technique. The NMD may implement a processing system 500 that includes a notification component (e.g., notification component 506 of
In some implementations, the NMD causes the one or more additional NMDs to disable their respective wake response to the detected one or more wake words by sending, via a network interface to the one or more NMDs, instructions that cause the one or more NMDs to disable their respective wake responses during playback of the received audio content. As noted above, various devices of a media playback system (e.g., control devices, playback devices, and NMDs) may be interconnected via a local area network (e.g., via a local area networked formed by wired or wireless network router 130 of
Alternatively, the NMD causes the one or more NMDs to disable its respective wake response to the detected one or more wake words by modifying the audio content to incorporate acoustic markers in segments of the audio content. Using such a technique, NMDs in audible range of the playback device need not be pre-determined or estimated. Rather, since the acoustic marker(s) are played back with the audio content, NMDs that are in audible range to detect the audio content (and, as such, may be falsely triggered by this content) are also in range to detect the acoustic marker(s) and responsively disable their wake response. If multiple NMDs are in audible range of the NMD, each NMD that detects a wake word responsively disables its wake response to the wake word in response to detecting the associated acoustic marker.
In some implementations, such as those in which the NMD modifies the audio content, the NMD provides the audio content to the playback device. In such instances, the NMD may operate as an intermediary between the source of audio content and the playback device. Transmitting the audio content to the playback device may cause the playback device to play back the audio content, as the playback device may be configured to play back received audio content. The NMD may provide the audio content to the playback device via any suitable communication interface, such as a network interface. If multiple playback devices are configured to play back the audio content, the NMD may provide the audio content to all of the playback devices, or the NMD may transmit the audio content to a subset of the playback devices (e.g., a group coordinator) which then distributes the audio content to other playback devices in the group, perhaps along with timing information to schedule synchronous playback.
To illustrate, in one example, playback devices 112 and 124 are in a zone group (i.e., a Kitchen+Dining Room zone group) that is configured to play back audio content in synchrony. After detecting wake words in audio content designated for playback by the zone group, NMD 132 may modify the audio content to include acoustic markers to designate the wake words in the audio content. Playback device 132 may then provide the modified audio content to playback device 112 and/or 114, so as to facilitate synchronous playback of the modified audio content.
d. Detect the Played Back Audio Content
At block 1108, implementation 1100 involves detecting the played back audio content via a microphone. For instance, while the playback device(s) are playing back the audio content that includes the one or more detected wake words, the NMD may detect the played back audio content via a microphone. In a configuration in which the wake response of the NMD is enabled, detecting the portions of the played back audio content that include wake words would trigger the wake response of the NMD. However, since the NMD disabled the wake response for the one or more wake words in the audio content, the wake response is not triggered.
In some implementations, a playback device implements the NMD. In such examples, the playback device may play back the received audio content via one or more speakers. In some instances, the speakers are co-located with the NMD in the same housing. Alternatively, the playback device may provide amplified audio via speaker jacks to one or more separate passive speakers. As another example, the playback device may play back the audio content by providing line-level audio to an amplifier, which then in turn provides amplified audio via speaker jacks to one or more passive speakers.
In some instances, an NMD is configured into a synchronous playback configuration with one or more additional playback devices. In such instances, playing back the audio content involves playing back the audio content in synchrony with the one or more additional playback devices. In some playback configurations (e.g., stereo pair or surround), each playback device in the playback configuration plays back a portion of the audio content in synchrony with the other playback devices in the playback configuration.
As noted above, in some implementations, the NMD provides the audio content to one or more playback devices for playback. In some examples, the NMD provides the audio content to the one or more playback devices to facilitate synchronous playback of that audio content with the NMD. In such implementations, the NMD may operate as a group coordinator for the synchrony group including the NMD and the one or more additional playback devices. As group coordinator, the NMD may additionally provide timing information to the one or more additional playback devices to facilitate the synchrony group scheduling synchronous playback. The playback device provides the audio content and/or the timing information via a network interface.
As discussed above, embodiments described herein may involve disabling a wake response.
a. Receive Data Representing Recorded Audio Content
At block 1202, implementation 1200 involves receiving data representing recorded audio content. For instance, a computing system may receive audio content for playback by a playback device. Example playback devices include any of playback devices 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 112, and 124 shown in
b. Detect, in the Audio Content, One or More Wake Words
In
c. Cause One or More NMDs to Disable its Respective Wake Response to the Detected One or More Wake Words During Playback of the Audio Content
In
As discussed above, embodiments described herein may involve suppressing a wake response.
a. Receive Instruction to Disable Wake Response of a NMD to One or More Wake Words
At block 1302, implementation 1300 involves receiving an instruction to disable a wake response of an NMD to one or wake words. For instance, an NMD (e.g., NMD 132) may receive an instruction from another NMD, a playback device, a computing system, or any other device. The instruction causes the NMD to disable its wake response to one or more wake words that are represented in certain audio content that has been designated for playback by one or more playback devices.
In some implementations, the received instruction to disable the wake response of the NMD to one or wake words is implicit. For example, the NMD may be instructed to not detect the wake word as it is played back by the playback device, perhaps by instructing the NMD to stop listening for wake words, by disabling the microphone array of the NMD for a period of time, or by creating a listening NULL in the direction of the playback device, among other examples. Alternatively, the NMD may detect the wake word, but be instructed to suppress its programmed wake response to invoke a voice service in response to detecting the wake word, perhaps by disregarding wake words during certain periods of time or by disregarding all audio during certain periods of time. The NMD may be instructed using any suitable instruction, such as those discussed above in sections II, III and IV.
Alternatively, the received instruction is implicit. For instance, as described above, audio content may be modified to include acoustic markers designating wake words. In such implementations, the received instruction may be in the form of an acoustic marker. In some cases, the received instruction may be an instruction to disable the NMD's wake response when an acoustic marker is detected.
b. Detect Audio Content being Played Back by One or More Playback Devices
In
c. Determine that the Detected Audio Content Includes One or More Wake Words
In
d. Disable the Wake Response of the NMD to the One or More Wake Words in the Detected Audio Content
In
The description above discloses, among other things, various example systems, methods, apparatus, and articles of manufacture including, among other components, firmware and/or software executed on hardware. It is understood that such examples are merely illustrative and should not be considered as limiting. For example, it is contemplated that any or all of the firmware, hardware, and/or software aspects or components can be embodied exclusively in hardware, exclusively in software, exclusively in firmware, or in any combination of hardware, software, and/or firmware. Accordingly, the examples provided are not the only way(s) to implement such systems, methods, apparatus, and/or articles of manufacture.
(Feature 1) A method comprising receiving, via a playback device, data representing audio content for playback by a playback device; before the audio content is played back by the playback device, detecting, in the audio content, one or more wake words for one or more voice services; causing one or more networked microphone devices to disable its respective wake response to the detected one or more wake words during playback of the audio content by the playback device, wherein, when enabled, the wake response of a given networked microphone device to a particular wake word causes the given networked microphone device to listen, via a microphone, for a voice command following the particular wake word; and playing back the audio content via one or more speakers.
(Feature 2) The method of feature 1, wherein the playback device comprises the given networked microphone device, and wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: while playing back the audio content, recording, via the microphone, the audio content being played back; and disabling respective wake responses of the given networked microphone device to the one or more wake words within the recorded audio content.
(Feature 3) The method of feature 1, wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: sending, via the network interface to the one or more networked microphone devices, instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 4) The method of feature 2, wherein the one or more networked microphones devices are a subset of networked microphone devices in a household, and wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: determining that the one or more networked microphone devices are in audible vicinity of the audio content; and in response to determining that the one or more networked microphones are in audible vicinity of the audio content, sending the instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 5) The method of feature 4, wherein the one or more networked microphone devices comprise respective playback devices, and wherein determining that the one or more networked microphones devices are in audible vicinity of the audio content comprises determining that the one or more networked microphone devices are in a synchronous playback configuration with the playback device.
(Feature 6) The method of feature 4, wherein determining that the one or more networked microphones devices are in audible vicinity of the audio content comprises determining that the one or more networked microphone devices are in audible vicinity of the playback device.
(Feature 7) The method of feature 1, wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: before playing back the audio content, modifying the audio content to incorporate acoustic markers in segments of the audio content that represent respective wake words, wherein detecting the acoustic markers causes the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 8) The method of feature 1, wherein detecting the one or more wake words comprises applying multiple wake-word detection algorithms to the audio content, wherein the multiple wake-word detection algorithms comprise a first wake-word detection algorithm for a first voice service and a second wake-word detection algorithm for a second voice service, and wherein applying multiple wake-word detection algorithms to the audio content before the audio content is played back by the playback device comprises: applying, to the audio content before the audio content is played back by the playback device, the first audio detection algorithm for the first voice service to detect at least one first wake word for the first voice service; and applying, to the audio content before the audio content is played back by the playback device, the second audio detection algorithm for the second voice service to detect at least one second wake word for the second voice service, wherein the second wake word is a different word than the first wake word.
(Feature 9) The method of feature 1, wherein the one or more or more networked microphone devices comprise a first networked microphone device and a second networked microphone device, and wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: causing the first networked microphone device to disable its respective wake response to the detected at least one first wake word; and causing the second networked microphone device to disable its respective wake response to the detected at least one second wake word.
(Feature 10) The method of feature 1, wherein detecting, in the audio content, one or more wake words for one or more voice services comprises detecting multiple instances of a particular wake word in the audio content, and wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises causing the one or more networked microphone devices to disable their respective wake responses until each networked microphone device has detected a number of wake words equal to a number of the multiple instances of the particular wake word detected in the audio content.
(Feature 11) A tangible, non-transitory computer-readable medium having stored therein instructions executable by one or more processors to cause a device to perform the method of any of features 1-10.
(Feature 12) A device configured to perform the method of any of features 1-10.
(Feature 13) A media playback system configured to perform the method of any of features 1-10.
(Feature 14) A method comprising: receiving, via a networked microphone device, data representing audio content for playback by a playback device; before the audio content is played back by the playback device, detecting, in the audio content, one or more wake words for one or more voice services; disabling a wake response of the networked microphone device to the detected one or more wake words during playback of the audio content by the playback device, wherein, when enabled, the wake response of the networked microphone device to a particular wake word causes the networked microphone device to listen, via a microphone, for a voice command following the particular wake word; and while the playback device is playing back the audio content, detecting the played back audio content via the microphone.
(Feature 15) The method of feature 14, further comprising transmitting, to the playback device via the network interface, the data representing the audio content to cause the playback device to play back the audio content.
(Feature 16) The method of feature 15, wherein disabling the wake response of the networked microphone device to the detected one or more wake words during playback of the audio content by the playback device comprises: before transmitting the data representing the audio content to the playback device, modifying the audio content to incorporate acoustic markers in segments of the audio content that represent respective wake words, wherein detecting the acoustic markers causes the networked microphone device to disable its respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 17) The method of feature 14, further comprising causing one or more additional networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device.
(Feature 18) The method of feature 17, wherein causing the one or more additional networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: sending, via the network interface to the one or more additional networked microphone devices, instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 19) The method of feature 17, wherein the one or more additional networked microphones devices are a subset of networked microphone devices in a household, and wherein causing the one or more additional networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: determining that the one or more networked microphones are in audible vicinity of the audio content; and in response to determining that the one or more networked microphones are in audible vicinity of the audio content, sending the instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 20) The method of feature 19, wherein the one or more networked microphone devices comprise respective playback devices, and wherein determining that the one or more networked microphones devices are in audible vicinity of the audio content comprises determining that that the one or more networked microphone devices are in a synchronous playback configuration with the playback device.
(Feature 21) The method of feature 14, wherein determining that the one or more networked microphones devices are in audible vicinity of the audio content comprises determining that the one or more networked microphone devices are in audible vicinity of the playback device.
(Feature 22) The method of feature 14, wherein detecting the one or more wake words comprises applying multiple wake-word detection algorithms to the audio content, wherein the multiple wake-word detection algorithms comprise a first wake-word detection algorithm for a first voice service and a second wake-word detection algorithm for a second voice service, and wherein applying multiple wake-word detection algorithms to the audio content before the audio content is played back by the playback device comprises: applying, to the audio content before the audio content is played back by the playback device, the first audio detection algorithm for the first voice service to detect at least one first wake word for the first voice service; and applying, to the audio content before the audio content is played back by the playback device, the second audio detection algorithm for the second voice service to detect at least one second wake word for the second voice service, wherein the second wake word is a different word than the first wake word.
(Feature 23) The method of feature 14, wherein the networked microphone device comprises the playback device, and wherein the method further comprises playing back the audio content via one or more speakers.
(Feature 24) A tangible, non-transitory computer-readable medium having stored therein instructions executable by one or more processors to cause a device to perform the method of any of features 14-23.
(Feature 25) A device configured to perform the method of any of features 14-23.
(Feature 26) A media playback system configured to perform the method of any of features 14-23.
(Feature 27) A method comprising: receiving, via a computing system, receiving, via an interface of the computing system, audio content for playback by one or more playback devices; before the audio content is played back by the playback device, detecting, in the audio content, one or more wake words for one or more voice services; and causing one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device, wherein, when enabled, the wake response of a given networked microphone device to a particular wake word causes the given networked microphone device to listen, via a microphone, for a voice command following the particular wake word.
(Feature 28) The method of feature 27, wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: sending, via the network interface to the one or more networked microphone devices, instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 29) The method of feature 28, wherein sending the instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device comprises: sending instructions that cause the one or more networked microphone devices to disable their respective wake responses during one or more time periods corresponding to when the one or more playback devices will play back segments of the audio content that represent respective wake words.
(Feature 30) The method of feature 28, wherein sending the instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device comprises: sending instructions that cause the one or more networked microphone devices to disable their respective microphones during one or more time periods corresponding to when the one or more playback devices will play back segments of the audio content that represent respective wake words.
(Feature 31) The method of feature 28, wherein the computing system detected a particular number of wake words in the audio content, and wherein sending the instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device comprises: sending instructions that cause the one or more networked microphone devices to disable their respective wake responses until the one or more networked microphone devices have detected a number of wake words equal to the particular number of wake words detected in the audio content.
(Feature 32) The method of feature 28, wherein the one or more networked microphones devices are a subset of networked microphone devices in a household, and wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: determining that the one or more networked microphone devices are in audible vicinity of the audio content; and in response to determining that the one or more networked microphones are in audible vicinity of the audio content, sending the instructions that cause the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device.
(Feature 33) The method of feature 32, wherein the one or more networked microphone devices comprise respective playback devices, and wherein determining that the one or more networked microphones devices are in audible vicinity of the audio content comprises determining that the one or more networked microphone devices are in a synchronous playback configuration with the playback device.
(Feature 34) The method of feature 32, wherein determining that the one or more networked microphones devices are in audible vicinity of the audio content comprises determining that the one or more networked microphone devices are in audible vicinity of the playback device.
(Feature 35) The method of feature 27, wherein causing the one or more networked microphone devices to disable their respective wake responses to the detected one or more wake words during playback of the audio content by the playback device comprises: before the one or more playback devices play back the audio content, modifying the audio content to incorporate acoustic markers in segments of the audio content that represent respective wake words, wherein detecting the acoustic markers causes the one or more networked microphone devices to disable their respective wake responses to the one or more wake words during playback of the audio content by the playback device; and transmitting the modified audio content to at least one of the one or more playback devices for playback by the one or more playback devices.
(Feature 36) The method of feature 35, wherein receiving the audio content for playback by one or more playback devices comprises one of: (a) receiving, via a network interface of the interface, data representing the audio content or (b) receiving, via an analog interface of the interface, an analog signal representing the audio content.
(Feature 37) The method of feature 27, wherein the computing system comprises a particular playback device of the one or more playback devices, and wherein the operations further comprise playing back the audio content.
(Feature 38) The method of feature 27, wherein the computing system comprises a particular networked microphone device of the one or more networked microphone device, and wherein the operations further comprise detecting, via a microphone, the audio content being playback back by the one or more playback devices.
(Feature 39) A tangible, non-transitory computer-readable medium having stored therein instructions executable by one or more processors to cause a device to perform the method of any of features 27-38.
(Feature 40) A device configured to perform the method of any of features 27-38.
(Feature 41) A media playback system configured to perform the method of any of features 27-38.
(Feature 42) A method comprising: receiving, via a networked microphone device, an instruction to disable a wake response of the networked microphone device to one or more wake words, wherein, when enabled, the wake response of the networked microphone device to a given wake word causes the networked microphone device to listen, via the microphone, for a voice command following the given wake word; detecting, via the microphone, audio content being played back by one or more playback devices; determining that the detected audio content includes one or more wake words; and in response to the received instruction, disabling the wake response of the networked microphone device to the one or more wake words in the detected audio content.
(Feature 43) The method of feature 42, wherein receiving the instruction to disable the wake response of the networked microphone device to the one or more wake words comprises: receiving an instruction to disable the wake response during one or more time periods corresponding to when the one or more playback devices will play back segments of the audio content corresponding to respective detected wake words.
(Feature 44) The method of feature 42, wherein receiving the instruction to disable the wake response of the networked microphone device to the one or more wake words comprises: receiving an instruction to disable the microphone during one or more time periods corresponding to when the one or more playback devices will play back segments of the audio content corresponding to respective detected wake words.
(Feature 45) The method of feature 42, wherein receiving the instruction to disable the wake response of the networked microphone device to the one or more wake words comprises: receiving an instruction to disable the wake response when consecutive wake words are detected until the networked microphone device has detected a number of wake words equal to a particular number of wake words.
(Feature 46) The method of feature 42, wherein receiving the instruction to disable the wake response of the networked microphone device to the one or more wake words comprises receiving an instruction to disable the wake response when an acoustic marker is detected, and wherein disabling the wake response of the networked microphone device to the one or more wake words in the detected audio content comprises: detecting acoustic markers in the detected audio content corresponding to respective detected wake words; and disabling the wake response in response to detecting each acoustic marker.
(Feature 47) The method of feature 42, wherein determining that the detected audio content includes one or more wake words comprises applying one or more wake-word detection algorithms to the detected audio content.
(Feature 48) A tangible, non-transitory computer-readable medium having stored therein instructions executable by one or more processors to cause a device to perform the method of any of features 42-47.
(Feature 49) A device configured to perform the method of any of features 42-47.
(Feature 50) A media playback system configured to perform the method of any of features 42-47.
The specification is presented largely in terms of illustrative environments, systems, procedures, steps, logic blocks, processing, and other symbolic representations that directly or indirectly resemble the operations of data processing devices coupled to networks. These process descriptions and representations are typically used by those skilled in the art to most effectively convey the substance of their work to others skilled in the art. Numerous specific details are set forth to provide a thorough understanding of the present disclosure. However, it is understood to those skilled in the art that certain embodiments of the present disclosure can be practiced without certain, specific details. In other instances, well known methods, procedures, components, and circuitry have not been described in detail to avoid unnecessarily obscuring aspects of the embodiments. Accordingly, the scope of the present disclosure is defined by the appended claims rather than the forgoing description of embodiments.
When any of the appended claims are read to cover a purely software and/or firmware implementation, at least one of the elements in at least one example is hereby expressly defined to include a tangible, non-transitory medium such as a memory, DVD, CD, Blu-ray, and so on, storing the software and/or firmware.
This application is a continuation of U.S. non provisional patent application Ser. No. 16/679,538, filed on Nov. 11, 2019, entitled “Wake-Word Detection Suppression,” which is incorporated herein by reference in its entirety. U.S. non provisional patent application Ser. No. 16/679,538 is a continuation of U.S. non provisional patent application Ser. No. 15/670,361, filed on Aug. 7, 2017, entitled “Wake-Word Detection Suppression,” and issued as U.S. Pat. No. 10,475,449 on Nov. 12, 2019, which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4741038 | Elko et al. | Apr 1988 | A |
4941187 | Slater | Jul 1990 | A |
4974213 | Siwecki | Nov 1990 | A |
5036538 | Oken et al. | Jul 1991 | A |
5440644 | Farinelli et al. | Aug 1995 | A |
5588065 | Tanaka et al. | Dec 1996 | A |
5717768 | Laroche | Feb 1998 | A |
5740260 | Odom | Apr 1998 | A |
5761320 | Farinelli et al. | Jun 1998 | A |
5857172 | Rozak | Jan 1999 | A |
5923902 | Inagaki | Jul 1999 | A |
5949414 | Namikata et al. | Sep 1999 | A |
6032202 | Lea et al. | Feb 2000 | A |
6070140 | Tran | May 2000 | A |
6088459 | Hobelsberger | Jul 2000 | A |
6219645 | Byers | Apr 2001 | B1 |
6256554 | DiLorenzo | Jul 2001 | B1 |
6301603 | Maher et al. | Oct 2001 | B1 |
6311157 | Strong | Oct 2001 | B1 |
6366886 | Dragosh et al. | Apr 2002 | B1 |
6404811 | Cvetko et al. | Jun 2002 | B1 |
6408078 | Hobelsberger | Jun 2002 | B1 |
6469633 | Wachter | Oct 2002 | B1 |
6522886 | Youngs et al. | Feb 2003 | B1 |
6594347 | Calder et al. | Jul 2003 | B1 |
6594630 | Zlokarnik et al. | Jul 2003 | B1 |
6611537 | Edens et al. | Aug 2003 | B1 |
6611604 | Irby et al. | Aug 2003 | B1 |
6631410 | Kowalski et al. | Oct 2003 | B1 |
6757517 | Chang | Jun 2004 | B2 |
6778869 | Champion | Aug 2004 | B2 |
6937977 | Gerson | Aug 2005 | B2 |
7099821 | Visser et al. | Aug 2006 | B2 |
7103542 | Doyle | Sep 2006 | B2 |
7130608 | Hollstrom et al. | Oct 2006 | B2 |
7130616 | Janik | Oct 2006 | B2 |
7143939 | Henzerling | Dec 2006 | B2 |
7174299 | Fujii et al. | Feb 2007 | B2 |
7228275 | Endo et al. | Jun 2007 | B1 |
7236773 | Thomas | Jun 2007 | B2 |
7295548 | Blank et al. | Nov 2007 | B2 |
7356471 | Ito et al. | Apr 2008 | B2 |
7383297 | Atsmon et al. | Jun 2008 | B1 |
7391791 | Balassanian et al. | Jun 2008 | B2 |
7483538 | McCarty et al. | Jan 2009 | B2 |
7516068 | Clark | Apr 2009 | B1 |
7571014 | Lambourne et al. | Aug 2009 | B1 |
7577757 | Carter et al. | Aug 2009 | B2 |
7630501 | Blank et al. | Dec 2009 | B2 |
7643894 | Braithwaite et al. | Jan 2010 | B2 |
7657910 | McAulay et al. | Feb 2010 | B1 |
7661107 | Van Dyke et al. | Feb 2010 | B1 |
7702508 | Bennett | Apr 2010 | B2 |
7705565 | Patino et al. | Apr 2010 | B2 |
7792311 | Holmgren et al. | Sep 2010 | B1 |
7853341 | McCarty et al. | Dec 2010 | B2 |
7961892 | Fedigan | Jun 2011 | B2 |
7987294 | Bryce et al. | Jul 2011 | B2 |
8014423 | Thaler et al. | Sep 2011 | B2 |
8019076 | Lambert | Sep 2011 | B1 |
8032383 | Bhardwaj et al. | Oct 2011 | B1 |
8041565 | Bhardwaj et al. | Oct 2011 | B1 |
8045952 | Qureshey et al. | Oct 2011 | B2 |
8073125 | Zhang et al. | Dec 2011 | B2 |
8073681 | Baldwin et al. | Dec 2011 | B2 |
8085947 | Haulick et al. | Dec 2011 | B2 |
8103009 | McCarty et al. | Jan 2012 | B2 |
8136040 | Fleming | Mar 2012 | B2 |
8165867 | Fish | Apr 2012 | B1 |
8233632 | MacDonald et al. | Jul 2012 | B1 |
8234395 | Millington | Jul 2012 | B2 |
8239206 | LeBeau et al. | Aug 2012 | B1 |
8255224 | Singleton et al. | Aug 2012 | B2 |
8284982 | Bailey | Oct 2012 | B2 |
8290603 | Lambourne | Oct 2012 | B1 |
8325909 | Tashev et al. | Dec 2012 | B2 |
8340975 | Rosenberger | Dec 2012 | B1 |
8364481 | Strope et al. | Jan 2013 | B2 |
8385557 | Tashev et al. | Feb 2013 | B2 |
8386261 | Mellott et al. | Feb 2013 | B2 |
8386523 | Mody et al. | Feb 2013 | B2 |
8423893 | Ramsay et al. | Apr 2013 | B2 |
8428758 | Naik et al. | Apr 2013 | B2 |
8453058 | Coccaro et al. | May 2013 | B1 |
8473618 | Spear et al. | Jun 2013 | B2 |
8483853 | Lambourne | Jul 2013 | B1 |
8484025 | Moreno et al. | Jul 2013 | B1 |
8588849 | Patterson et al. | Nov 2013 | B2 |
8594320 | Faller | Nov 2013 | B2 |
8600443 | Kawaguchi et al. | Dec 2013 | B2 |
8620232 | Helsloot | Dec 2013 | B2 |
8639214 | Fujisaki | Jan 2014 | B1 |
8710970 | Oelrich et al. | Apr 2014 | B2 |
8719039 | Sharifi | May 2014 | B1 |
8738925 | Park et al. | May 2014 | B1 |
8762156 | Chen | Jun 2014 | B2 |
8775191 | Sharifi et al. | Jul 2014 | B1 |
8831761 | Kemp et al. | Sep 2014 | B2 |
8831957 | Taubman et al. | Sep 2014 | B2 |
8848879 | Coughlan et al. | Sep 2014 | B1 |
8861756 | Zhu et al. | Oct 2014 | B2 |
8874448 | Kauffmann et al. | Oct 2014 | B1 |
8938394 | Faaborg et al. | Jan 2015 | B1 |
8942252 | Balassanian et al. | Jan 2015 | B2 |
8983383 | Haskin | Mar 2015 | B1 |
8983844 | Thomas et al. | Mar 2015 | B1 |
9002024 | Nakadai et al. | Apr 2015 | B2 |
9015049 | Baldwin et al. | Apr 2015 | B2 |
9042556 | Kallai et al. | May 2015 | B2 |
9047857 | Barton | Jun 2015 | B1 |
9060224 | List | Jun 2015 | B1 |
9070367 | Hoffmeister et al. | Jun 2015 | B1 |
9088336 | Mani et al. | Jul 2015 | B2 |
9094539 | Noble | Jul 2015 | B1 |
9098467 | Blanksteen et al. | Aug 2015 | B1 |
9124650 | Maharajh et al. | Sep 2015 | B2 |
9124711 | Park et al. | Sep 2015 | B2 |
9148742 | Koulomzin et al. | Sep 2015 | B1 |
9190043 | Krisch et al. | Nov 2015 | B2 |
9208785 | Ben-David et al. | Dec 2015 | B2 |
9215545 | Dublin et al. | Dec 2015 | B2 |
9245527 | Lindahl | Jan 2016 | B2 |
9251793 | Lebeau et al. | Feb 2016 | B2 |
9253572 | Beddingfield, Sr. et al. | Feb 2016 | B2 |
9262612 | Cheyer | Feb 2016 | B2 |
9263042 | Sharifi | Feb 2016 | B1 |
9275637 | Salvador et al. | Mar 2016 | B1 |
9288597 | Carlsson et al. | Mar 2016 | B2 |
9300266 | Grokop | Mar 2016 | B2 |
9304736 | Whiteley et al. | Apr 2016 | B1 |
9307321 | Unruh | Apr 2016 | B1 |
9313317 | Lebeau et al. | Apr 2016 | B1 |
9318107 | Sharifi | Apr 2016 | B1 |
9319816 | Narayanan | Apr 2016 | B1 |
9324322 | Torok et al. | Apr 2016 | B1 |
9335819 | Jaeger et al. | May 2016 | B1 |
9354687 | Bansal et al. | May 2016 | B2 |
9361878 | Boukadakis | Jun 2016 | B2 |
9361885 | Ganong, III et al. | Jun 2016 | B2 |
9368105 | Freed et al. | Jun 2016 | B1 |
9373329 | Strope et al. | Jun 2016 | B2 |
9374634 | Macours | Jun 2016 | B2 |
9386154 | Baciu et al. | Jul 2016 | B2 |
9390708 | Hoffmeister | Jul 2016 | B1 |
9401058 | De La Fuente et al. | Jul 2016 | B2 |
9412392 | Lindahl et al. | Aug 2016 | B2 |
9426567 | Lee et al. | Aug 2016 | B2 |
9431021 | Scalise et al. | Aug 2016 | B1 |
9443516 | Katuri et al. | Sep 2016 | B2 |
9443527 | Watanabe et al. | Sep 2016 | B1 |
9472201 | Sleator | Oct 2016 | B1 |
9472203 | Ayrapetian et al. | Oct 2016 | B1 |
9484030 | Meaney et al. | Nov 2016 | B1 |
9489948 | Chu et al. | Nov 2016 | B1 |
9494683 | Sadek | Nov 2016 | B1 |
9509269 | Rosenberg | Nov 2016 | B1 |
9510101 | Polleros | Nov 2016 | B1 |
9514476 | Kay et al. | Dec 2016 | B2 |
9514747 | Bisani et al. | Dec 2016 | B1 |
9514752 | Sharifi | Dec 2016 | B2 |
9516081 | Tebbs et al. | Dec 2016 | B2 |
9532139 | Lu et al. | Dec 2016 | B1 |
9536541 | Chen et al. | Jan 2017 | B2 |
9548053 | Basye et al. | Jan 2017 | B1 |
9548066 | Jain et al. | Jan 2017 | B2 |
9552816 | Vanlund et al. | Jan 2017 | B2 |
9554210 | Ayrapetian et al. | Jan 2017 | B1 |
9558755 | Laroche et al. | Jan 2017 | B1 |
9560441 | McDonough, Jr. et al. | Jan 2017 | B1 |
9576591 | Kim et al. | Feb 2017 | B2 |
9601116 | Casado et al. | Mar 2017 | B2 |
9615170 | Kirsch et al. | Apr 2017 | B2 |
9615171 | O'Neill et al. | Apr 2017 | B1 |
9626695 | Balasubramanian et al. | Apr 2017 | B2 |
9632748 | Faaborg et al. | Apr 2017 | B2 |
9633186 | Ingrassia, Jr. et al. | Apr 2017 | B2 |
9633368 | Greenzeiger et al. | Apr 2017 | B2 |
9633660 | Haughay et al. | Apr 2017 | B2 |
9633661 | Typrin et al. | Apr 2017 | B1 |
9633671 | Giacobello et al. | Apr 2017 | B2 |
9633674 | Sinha et al. | Apr 2017 | B2 |
9640179 | Hart et al. | May 2017 | B1 |
9640183 | Jung et al. | May 2017 | B2 |
9640194 | Nemala et al. | May 2017 | B1 |
9641919 | Poole et al. | May 2017 | B1 |
9646614 | Bellegarda et al. | May 2017 | B2 |
9648564 | Cui et al. | May 2017 | B1 |
9653060 | Hilmes et al. | May 2017 | B1 |
9653075 | Chen et al. | May 2017 | B1 |
9659555 | Hilmes et al. | May 2017 | B1 |
9672812 | Watanabe et al. | Jun 2017 | B1 |
9672821 | Krishnaswamy et al. | Jun 2017 | B2 |
9674587 | Triplett et al. | Jun 2017 | B2 |
9685171 | Yang | Jun 2017 | B1 |
9691378 | Meyers et al. | Jun 2017 | B1 |
9691379 | Mathias et al. | Jun 2017 | B1 |
9691384 | Wang et al. | Jun 2017 | B1 |
9697826 | Sainath et al. | Jul 2017 | B2 |
9697828 | Prasad et al. | Jul 2017 | B1 |
9698999 | Mutagi et al. | Jul 2017 | B2 |
9704478 | Vitaladevuni et al. | Jul 2017 | B1 |
9706320 | Starobin et al. | Jul 2017 | B2 |
9721566 | Newendorp et al. | Aug 2017 | B2 |
9721568 | Polansky et al. | Aug 2017 | B1 |
9721570 | Beal et al. | Aug 2017 | B1 |
9728188 | Rosen et al. | Aug 2017 | B1 |
9734822 | Sundaram et al. | Aug 2017 | B1 |
9736578 | Iyengar et al. | Aug 2017 | B2 |
9743204 | Welch et al. | Aug 2017 | B1 |
9743207 | Hartung | Aug 2017 | B1 |
9747011 | Lewis et al. | Aug 2017 | B2 |
9747899 | Pogue et al. | Aug 2017 | B2 |
9747920 | Ayrapetian et al. | Aug 2017 | B2 |
9747926 | Sharifi et al. | Aug 2017 | B2 |
9749738 | Adsumilli et al. | Aug 2017 | B1 |
9749760 | Lambourne | Aug 2017 | B2 |
9754605 | Chhetri | Sep 2017 | B1 |
9756422 | Paquier et al. | Sep 2017 | B2 |
9762967 | Clarke et al. | Sep 2017 | B2 |
9767786 | Starobin et al. | Sep 2017 | B2 |
9769420 | Moses | Sep 2017 | B1 |
9779725 | Sun et al. | Oct 2017 | B2 |
9779732 | Lee et al. | Oct 2017 | B2 |
9779734 | Lee | Oct 2017 | B2 |
9779735 | Civelli et al. | Oct 2017 | B2 |
9781532 | Sheen | Oct 2017 | B2 |
9799330 | Nemala et al. | Oct 2017 | B2 |
9805733 | Park | Oct 2017 | B2 |
9811314 | Plagge et al. | Nov 2017 | B2 |
9812128 | Mixter et al. | Nov 2017 | B2 |
9813810 | Nongpiur | Nov 2017 | B1 |
9813812 | Berthelsen et al. | Nov 2017 | B2 |
9818407 | Secker-Walker et al. | Nov 2017 | B1 |
9820036 | Tritschler et al. | Nov 2017 | B1 |
9820039 | Lang | Nov 2017 | B2 |
9826306 | Lang | Nov 2017 | B2 |
9865259 | Typrin et al. | Jan 2018 | B1 |
9865264 | Gelfenbeyn et al. | Jan 2018 | B2 |
9875740 | Kumar et al. | Jan 2018 | B1 |
9881616 | Beckley et al. | Jan 2018 | B2 |
9898250 | Williams et al. | Feb 2018 | B1 |
9899021 | Vitaladevuni et al. | Feb 2018 | B1 |
9900723 | Choisel et al. | Feb 2018 | B1 |
9916839 | Scalise et al. | Mar 2018 | B1 |
9947316 | Millington et al. | Apr 2018 | B2 |
9947333 | David | Apr 2018 | B1 |
9972318 | Kelly et al. | May 2018 | B1 |
9972343 | Thorson et al. | May 2018 | B1 |
9973849 | Zhang et al. | May 2018 | B1 |
9979560 | Kim et al. | May 2018 | B2 |
9992642 | Rapp et al. | Jun 2018 | B1 |
9997151 | Ayrapetian et al. | Jun 2018 | B1 |
10013381 | Mayman et al. | Jul 2018 | B2 |
10013995 | Lashkari et al. | Jul 2018 | B1 |
10025447 | Dixit et al. | Jul 2018 | B1 |
10026401 | Mutagi et al. | Jul 2018 | B1 |
10028069 | Lang | Jul 2018 | B1 |
10048930 | Vega et al. | Aug 2018 | B1 |
10049675 | Haughay | Aug 2018 | B2 |
10051366 | Buoni et al. | Aug 2018 | B1 |
10051600 | Zhong et al. | Aug 2018 | B1 |
10057698 | Drinkwater et al. | Aug 2018 | B2 |
RE47049 | Zhu et al. | Sep 2018 | E |
10068573 | Aykac et al. | Sep 2018 | B1 |
10074369 | Devaraj et al. | Sep 2018 | B2 |
10074371 | Wang et al. | Sep 2018 | B1 |
10079015 | Lockhart et al. | Sep 2018 | B1 |
10089981 | Elangovan et al. | Oct 2018 | B1 |
10108393 | Millington et al. | Oct 2018 | B2 |
10115400 | Wilberding | Oct 2018 | B2 |
10116748 | Farmer et al. | Oct 2018 | B2 |
10127911 | Kim et al. | Nov 2018 | B2 |
10134388 | Lilly | Nov 2018 | B1 |
10134398 | Sharifi | Nov 2018 | B2 |
10134399 | Lang et al. | Nov 2018 | B2 |
10136204 | Poole et al. | Nov 2018 | B1 |
10152969 | Reilly et al. | Dec 2018 | B2 |
10181323 | Beckhardt et al. | Jan 2019 | B2 |
10186265 | Lockhart et al. | Jan 2019 | B1 |
10186266 | Devaraj et al. | Jan 2019 | B1 |
10186276 | Dewasurendra et al. | Jan 2019 | B2 |
10192546 | Piersol et al. | Jan 2019 | B1 |
10224056 | Torok et al. | Mar 2019 | B1 |
10225651 | Lang | Mar 2019 | B2 |
10229680 | Gillespie et al. | Mar 2019 | B1 |
10241754 | Kadarundalagi Raghuram Doss et al. | Mar 2019 | B1 |
10248376 | Keyser-Allen et al. | Apr 2019 | B2 |
10249205 | Hammersley et al. | Apr 2019 | B2 |
10276161 | Hughes et al. | Apr 2019 | B2 |
10297256 | Reilly et al. | May 2019 | B2 |
10304440 | Panchapagesan et al. | May 2019 | B1 |
10304475 | Wang et al. | May 2019 | B1 |
10318236 | Pal et al. | Jun 2019 | B1 |
10332508 | Hoffmeister | Jun 2019 | B1 |
10339917 | Aleksic et al. | Jul 2019 | B2 |
10339957 | Chenier et al. | Jul 2019 | B1 |
10346122 | Morgan | Jul 2019 | B1 |
10354650 | Gruenstein et al. | Jul 2019 | B2 |
10354658 | Wilberding | Jul 2019 | B2 |
10365887 | Mulherkar | Jul 2019 | B1 |
10365889 | Plagge et al. | Jul 2019 | B2 |
10366688 | Gunn et al. | Jul 2019 | B2 |
10366699 | Dharia et al. | Jul 2019 | B1 |
10374816 | Leblang et al. | Aug 2019 | B1 |
10381001 | Gunn et al. | Aug 2019 | B2 |
10381002 | Gunn et al. | Aug 2019 | B2 |
10381003 | Wakisaka et al. | Aug 2019 | B2 |
10388272 | Thomson et al. | Aug 2019 | B1 |
10424296 | Penilla et al. | Sep 2019 | B2 |
10433058 | Torgerson et al. | Oct 2019 | B1 |
10445057 | Vega et al. | Oct 2019 | B2 |
10445365 | Luke et al. | Oct 2019 | B2 |
10469966 | Lambourne | Nov 2019 | B2 |
10499146 | Lang et al. | Dec 2019 | B2 |
10510340 | Fu et al. | Dec 2019 | B1 |
10511904 | Buoni et al. | Dec 2019 | B2 |
10515625 | Metallinou et al. | Dec 2019 | B1 |
10522146 | Tushinskiy | Dec 2019 | B1 |
10546583 | White et al. | Jan 2020 | B2 |
10565998 | Wilberding | Feb 2020 | B2 |
10573312 | Thomson et al. | Feb 2020 | B1 |
10573321 | Smith et al. | Feb 2020 | B1 |
10580405 | Wang et al. | Mar 2020 | B1 |
10586534 | Argyropoulos et al. | Mar 2020 | B1 |
10586540 | Smith et al. | Mar 2020 | B1 |
10593328 | Wang et al. | Mar 2020 | B1 |
10593330 | Sharifi | Mar 2020 | B2 |
10599287 | Kumar et al. | Mar 2020 | B2 |
10600406 | Shapiro et al. | Mar 2020 | B1 |
10602268 | Soto | Mar 2020 | B1 |
10614807 | Beckhardt et al. | Apr 2020 | B2 |
10621981 | Sereshki | Apr 2020 | B2 |
10622009 | Zhang et al. | Apr 2020 | B1 |
10623811 | Cwik | Apr 2020 | B1 |
10624612 | Sumi et al. | Apr 2020 | B2 |
10643609 | Pogue et al. | May 2020 | B1 |
10645130 | Corbin et al. | May 2020 | B2 |
10672383 | Thomson et al. | Jun 2020 | B1 |
10679625 | Lockhart et al. | Jun 2020 | B1 |
10681460 | Woo et al. | Jun 2020 | B2 |
10685669 | Lan et al. | Jun 2020 | B1 |
10694608 | Baker et al. | Jun 2020 | B2 |
10699711 | Reilly | Jun 2020 | B2 |
10706843 | Elangovan et al. | Jul 2020 | B1 |
10712997 | Wilberding et al. | Jul 2020 | B2 |
10728196 | Wang | Jul 2020 | B2 |
10740065 | Jarvis et al. | Aug 2020 | B2 |
10748531 | Kim | Aug 2020 | B2 |
10762896 | Yavagal et al. | Sep 2020 | B1 |
10777189 | Fu et al. | Sep 2020 | B1 |
10777203 | Pasko | Sep 2020 | B1 |
10797667 | Fish et al. | Oct 2020 | B2 |
10824682 | Alvares et al. | Nov 2020 | B2 |
10825471 | Walley et al. | Nov 2020 | B2 |
10837667 | Nelson et al. | Nov 2020 | B2 |
10847137 | Mandal et al. | Nov 2020 | B1 |
10847143 | Millington et al. | Nov 2020 | B2 |
10847149 | Mok et al. | Nov 2020 | B1 |
10848885 | Lambourne | Nov 2020 | B2 |
RE48371 | Zhu et al. | Dec 2020 | E |
10867596 | Yoneda et al. | Dec 2020 | B2 |
10867604 | Smith et al. | Dec 2020 | B2 |
10871943 | D'Amato et al. | Dec 2020 | B1 |
10878811 | Smith et al. | Dec 2020 | B2 |
10878826 | Li et al. | Dec 2020 | B2 |
10897679 | Lambourne | Jan 2021 | B2 |
10911596 | Do et al. | Feb 2021 | B1 |
10943598 | Singh et al. | Mar 2021 | B2 |
10964314 | Jazi et al. | Mar 2021 | B2 |
10971158 | Patangay et al. | Apr 2021 | B1 |
11024311 | Mixter et al. | Jun 2021 | B2 |
11050615 | Mathews et al. | Jun 2021 | B2 |
11062705 | Watanabe et al. | Jul 2021 | B2 |
11100923 | Fainberg et al. | Aug 2021 | B2 |
11127405 | Antos et al. | Sep 2021 | B1 |
11137979 | Plagge | Oct 2021 | B2 |
11172328 | Soto et al. | Nov 2021 | B2 |
11172329 | Soto et al. | Nov 2021 | B2 |
11175880 | Liu et al. | Nov 2021 | B2 |
11184704 | Jarvis et al. | Nov 2021 | B2 |
11206052 | Park et al. | Dec 2021 | B1 |
11212612 | Lang et al. | Dec 2021 | B2 |
11264019 | Bhattacharya et al. | Mar 2022 | B2 |
11277512 | Leeds et al. | Mar 2022 | B1 |
11315556 | Smith et al. | Apr 2022 | B2 |
11354092 | D'Amato et al. | Jun 2022 | B2 |
11388532 | Lambourne | Jul 2022 | B2 |
11411763 | Mackay et al. | Aug 2022 | B2 |
11445301 | Park et al. | Sep 2022 | B2 |
20010003173 | Lim | Jun 2001 | A1 |
20010042107 | Palm | Nov 2001 | A1 |
20020022453 | Balog et al. | Feb 2002 | A1 |
20020026442 | Lipscomb et al. | Feb 2002 | A1 |
20020034280 | Infosino | Mar 2002 | A1 |
20020046023 | Fujii et al. | Apr 2002 | A1 |
20020054685 | Avendano et al. | May 2002 | A1 |
20020055950 | Witteman | May 2002 | A1 |
20020072816 | Shdema et al. | Jun 2002 | A1 |
20020116196 | Tran | Aug 2002 | A1 |
20020124097 | Isely et al. | Sep 2002 | A1 |
20020143532 | McLean et al. | Oct 2002 | A1 |
20030015354 | Edwards et al. | Jan 2003 | A1 |
20030038848 | Lee et al. | Feb 2003 | A1 |
20030040908 | Yang et al. | Feb 2003 | A1 |
20030070182 | Pierre et al. | Apr 2003 | A1 |
20030070869 | Hlibowicki | Apr 2003 | A1 |
20030072462 | Hlibowicki | Apr 2003 | A1 |
20030095672 | Hobelsberger | May 2003 | A1 |
20030130850 | Badt et al. | Jul 2003 | A1 |
20030157951 | Hasty, Jr. | Aug 2003 | A1 |
20030235244 | Pessoa et al. | Dec 2003 | A1 |
20040024478 | Hans et al. | Feb 2004 | A1 |
20040093219 | Shin et al. | May 2004 | A1 |
20040105566 | Matsunaga et al. | Jun 2004 | A1 |
20040127241 | Shostak | Jul 2004 | A1 |
20040128135 | Anastasakos et al. | Jul 2004 | A1 |
20040153321 | Chung et al. | Aug 2004 | A1 |
20040161082 | Brown et al. | Aug 2004 | A1 |
20040234088 | McCarty et al. | Nov 2004 | A1 |
20050031131 | Browning et al. | Feb 2005 | A1 |
20050031132 | Browning et al. | Feb 2005 | A1 |
20050031133 | Browning et al. | Feb 2005 | A1 |
20050031134 | Leske | Feb 2005 | A1 |
20050031137 | Browning et al. | Feb 2005 | A1 |
20050031138 | Browning et al. | Feb 2005 | A1 |
20050031139 | Browning et al. | Feb 2005 | A1 |
20050031140 | Browning | Feb 2005 | A1 |
20050033582 | Gadd et al. | Feb 2005 | A1 |
20050047606 | Lee et al. | Mar 2005 | A1 |
20050077843 | Benditt | Apr 2005 | A1 |
20050164664 | DiFonzo et al. | Jul 2005 | A1 |
20050195988 | Tashev et al. | Sep 2005 | A1 |
20050201254 | Looney et al. | Sep 2005 | A1 |
20050207584 | Bright | Sep 2005 | A1 |
20050235334 | Togashi et al. | Oct 2005 | A1 |
20050254662 | Blank et al. | Nov 2005 | A1 |
20050268234 | Rossi et al. | Dec 2005 | A1 |
20050283330 | Laraia et al. | Dec 2005 | A1 |
20050283475 | Beranek et al. | Dec 2005 | A1 |
20060004834 | Pyhalammi et al. | Jan 2006 | A1 |
20060023945 | King et al. | Feb 2006 | A1 |
20060041431 | Maes | Feb 2006 | A1 |
20060093128 | Oxford | May 2006 | A1 |
20060104451 | Browning et al. | May 2006 | A1 |
20060147058 | Wang | Jul 2006 | A1 |
20060190269 | Tessel et al. | Aug 2006 | A1 |
20060190968 | Jung et al. | Aug 2006 | A1 |
20060247913 | Huerta et al. | Nov 2006 | A1 |
20060262943 | Oxford | Nov 2006 | A1 |
20070018844 | Sutardja | Jan 2007 | A1 |
20070019815 | Asada et al. | Jan 2007 | A1 |
20070033043 | Hyakumoto | Feb 2007 | A1 |
20070038999 | Millington | Feb 2007 | A1 |
20070060054 | Romesburg | Mar 2007 | A1 |
20070071206 | Gainsboro et al. | Mar 2007 | A1 |
20070071255 | Schobben | Mar 2007 | A1 |
20070076131 | Li et al. | Apr 2007 | A1 |
20070076906 | Takagi et al. | Apr 2007 | A1 |
20070140058 | McIntosh et al. | Jun 2007 | A1 |
20070140521 | Mitobe et al. | Jun 2007 | A1 |
20070142944 | Goldberg et al. | Jun 2007 | A1 |
20070147651 | Mitobe et al. | Jun 2007 | A1 |
20070201639 | Park et al. | Aug 2007 | A1 |
20070254604 | Kim | Nov 2007 | A1 |
20070286426 | Xiang et al. | Dec 2007 | A1 |
20080008333 | Nishikawa et al. | Jan 2008 | A1 |
20080031466 | Buck et al. | Feb 2008 | A1 |
20080037814 | Shau | Feb 2008 | A1 |
20080090537 | Sutardja | Apr 2008 | A1 |
20080090617 | Sutardja | Apr 2008 | A1 |
20080144858 | Khawand et al. | Jun 2008 | A1 |
20080146289 | Korneluk et al. | Jun 2008 | A1 |
20080160977 | Ahmaniemi et al. | Jul 2008 | A1 |
20080182518 | Lo | Jul 2008 | A1 |
20080192946 | Faller | Aug 2008 | A1 |
20080207115 | Lee et al. | Aug 2008 | A1 |
20080208594 | Cross et al. | Aug 2008 | A1 |
20080221897 | Cerra et al. | Sep 2008 | A1 |
20080247530 | Barton et al. | Oct 2008 | A1 |
20080248797 | Freeman et al. | Oct 2008 | A1 |
20080291896 | Tuubel et al. | Nov 2008 | A1 |
20080291916 | Xiong et al. | Nov 2008 | A1 |
20080301729 | Broos et al. | Dec 2008 | A1 |
20090003620 | McKillop et al. | Jan 2009 | A1 |
20090005893 | Sugii et al. | Jan 2009 | A1 |
20090010445 | Matsuo | Jan 2009 | A1 |
20090013255 | Yuschik et al. | Jan 2009 | A1 |
20090018828 | Nakadai et al. | Jan 2009 | A1 |
20090043206 | Towfiq et al. | Feb 2009 | A1 |
20090046866 | Feng et al. | Feb 2009 | A1 |
20090052688 | Ishibashi et al. | Feb 2009 | A1 |
20090076821 | Brenner et al. | Mar 2009 | A1 |
20090113053 | Van Wie et al. | Apr 2009 | A1 |
20090153289 | Hope et al. | Jun 2009 | A1 |
20090191854 | Beason | Jul 2009 | A1 |
20090197524 | Haff et al. | Aug 2009 | A1 |
20090214048 | Stokes, III et al. | Aug 2009 | A1 |
20090220107 | Every et al. | Sep 2009 | A1 |
20090228919 | Zott et al. | Sep 2009 | A1 |
20090238377 | Ramakrishnan et al. | Sep 2009 | A1 |
20090238386 | Usher et al. | Sep 2009 | A1 |
20090248397 | Garcia et al. | Oct 2009 | A1 |
20090249222 | Schmidt et al. | Oct 2009 | A1 |
20090264072 | Dai | Oct 2009 | A1 |
20090299745 | Kennewick et al. | Dec 2009 | A1 |
20090323907 | Gupta et al. | Dec 2009 | A1 |
20090323924 | Tashev et al. | Dec 2009 | A1 |
20090326949 | Douthitt et al. | Dec 2009 | A1 |
20100014690 | Wolff et al. | Jan 2010 | A1 |
20100023638 | Bowman | Jan 2010 | A1 |
20100035593 | Franco et al. | Feb 2010 | A1 |
20100041443 | Yokota | Feb 2010 | A1 |
20100070276 | Wasserblat et al. | Mar 2010 | A1 |
20100070922 | DeMaio et al. | Mar 2010 | A1 |
20100075723 | Min et al. | Mar 2010 | A1 |
20100088100 | Lindahl | Apr 2010 | A1 |
20100092004 | Kuze | Apr 2010 | A1 |
20100161335 | Whynot | Jun 2010 | A1 |
20100172516 | Lastrucci | Jul 2010 | A1 |
20100178873 | Lee et al. | Jul 2010 | A1 |
20100179806 | Zhang et al. | Jul 2010 | A1 |
20100179874 | Higgins et al. | Jul 2010 | A1 |
20100185448 | Meisel | Jul 2010 | A1 |
20100211199 | Naik et al. | Aug 2010 | A1 |
20100260348 | Bhow et al. | Oct 2010 | A1 |
20100278351 | Fozunbal et al. | Nov 2010 | A1 |
20100299639 | Ramsay et al. | Nov 2010 | A1 |
20100329472 | Nakadai et al. | Dec 2010 | A1 |
20100332236 | Tan | Dec 2010 | A1 |
20110019833 | Kuech et al. | Jan 2011 | A1 |
20110033059 | Bhaskar et al. | Feb 2011 | A1 |
20110035580 | Wang et al. | Feb 2011 | A1 |
20110044461 | Kuech et al. | Feb 2011 | A1 |
20110044489 | Saiki et al. | Feb 2011 | A1 |
20110046952 | Koshinaka | Feb 2011 | A1 |
20110066634 | Phillips et al. | Mar 2011 | A1 |
20110091055 | Leblanc | Apr 2011 | A1 |
20110103615 | Sun | May 2011 | A1 |
20110131032 | Yang et al. | Jun 2011 | A1 |
20110145581 | Malhotra et al. | Jun 2011 | A1 |
20110170707 | Yamada et al. | Jul 2011 | A1 |
20110176687 | Birkenes | Jul 2011 | A1 |
20110182436 | Murgia et al. | Jul 2011 | A1 |
20110202924 | Banguero et al. | Aug 2011 | A1 |
20110218656 | Bishop et al. | Sep 2011 | A1 |
20110267985 | Wilkinson et al. | Nov 2011 | A1 |
20110276333 | Wang et al. | Nov 2011 | A1 |
20110280422 | Neumeyer et al. | Nov 2011 | A1 |
20110285808 | Feng et al. | Nov 2011 | A1 |
20110289506 | Trivi et al. | Nov 2011 | A1 |
20110299706 | Sakai | Dec 2011 | A1 |
20120009906 | Patterson et al. | Jan 2012 | A1 |
20120020485 | Visser et al. | Jan 2012 | A1 |
20120020486 | Fried et al. | Jan 2012 | A1 |
20120022863 | Cho et al. | Jan 2012 | A1 |
20120022864 | Leman et al. | Jan 2012 | A1 |
20120027218 | Every et al. | Feb 2012 | A1 |
20120076308 | Kuech et al. | Mar 2012 | A1 |
20120078635 | Rothkopf et al. | Mar 2012 | A1 |
20120086568 | Scott et al. | Apr 2012 | A1 |
20120123268 | Tanaka et al. | May 2012 | A1 |
20120128160 | Kim et al. | May 2012 | A1 |
20120131125 | Seidel et al. | May 2012 | A1 |
20120148075 | Goh et al. | Jun 2012 | A1 |
20120162540 | Ouchi et al. | Jun 2012 | A1 |
20120163603 | Abe et al. | Jun 2012 | A1 |
20120177215 | Bose et al. | Jul 2012 | A1 |
20120183149 | Hiroe | Jul 2012 | A1 |
20120224457 | Kim et al. | Sep 2012 | A1 |
20120224715 | Kikkeri | Sep 2012 | A1 |
20120237047 | Neal et al. | Sep 2012 | A1 |
20120245941 | Cheyer | Sep 2012 | A1 |
20120265528 | Gruber et al. | Oct 2012 | A1 |
20120288100 | Cho | Nov 2012 | A1 |
20120297284 | Matthews, III et al. | Nov 2012 | A1 |
20120308044 | Vander Mey et al. | Dec 2012 | A1 |
20120308046 | Muza | Dec 2012 | A1 |
20130006453 | Wang et al. | Jan 2013 | A1 |
20130024018 | Chang et al. | Jan 2013 | A1 |
20130034241 | Pandey et al. | Feb 2013 | A1 |
20130039527 | Jensen et al. | Feb 2013 | A1 |
20130051755 | Brown et al. | Feb 2013 | A1 |
20130058492 | Silzle et al. | Mar 2013 | A1 |
20130066453 | Seefeldt | Mar 2013 | A1 |
20130073293 | Jang et al. | Mar 2013 | A1 |
20130080146 | Kato et al. | Mar 2013 | A1 |
20130080167 | Mozer | Mar 2013 | A1 |
20130080171 | Mozer et al. | Mar 2013 | A1 |
20130124211 | McDonough | May 2013 | A1 |
20130129100 | Sorensen | May 2013 | A1 |
20130148821 | Sorensen | Jun 2013 | A1 |
20130170647 | Reilly et al. | Jul 2013 | A1 |
20130179173 | Lee et al. | Jul 2013 | A1 |
20130183944 | Mozer et al. | Jul 2013 | A1 |
20130191119 | Sugiyama | Jul 2013 | A1 |
20130191122 | Mason | Jul 2013 | A1 |
20130198298 | Li et al. | Aug 2013 | A1 |
20130211826 | Mannby | Aug 2013 | A1 |
20130216056 | Thyssen | Aug 2013 | A1 |
20130230184 | Kuech et al. | Sep 2013 | A1 |
20130238326 | Kim et al. | Sep 2013 | A1 |
20130262101 | Srinivasan | Oct 2013 | A1 |
20130283169 | Van Wie | Oct 2013 | A1 |
20130289994 | Newman et al. | Oct 2013 | A1 |
20130294611 | Yoo et al. | Nov 2013 | A1 |
20130301840 | Yemdji et al. | Nov 2013 | A1 |
20130315420 | You | Nov 2013 | A1 |
20130317635 | Bates et al. | Nov 2013 | A1 |
20130322462 | Poulsen | Dec 2013 | A1 |
20130322665 | Bennett et al. | Dec 2013 | A1 |
20130324031 | Loureiro | Dec 2013 | A1 |
20130329896 | Krishnaswamy et al. | Dec 2013 | A1 |
20130331970 | Beckhardt et al. | Dec 2013 | A1 |
20130332165 | Beckley et al. | Dec 2013 | A1 |
20130336499 | Beckhardt et al. | Dec 2013 | A1 |
20130339028 | Rosner et al. | Dec 2013 | A1 |
20130343567 | Triplett et al. | Dec 2013 | A1 |
20140003611 | Mohammad et al. | Jan 2014 | A1 |
20140003625 | Sheen et al. | Jan 2014 | A1 |
20140003635 | Mohammad et al. | Jan 2014 | A1 |
20140005813 | Reimann | Jan 2014 | A1 |
20140006026 | Lamb et al. | Jan 2014 | A1 |
20140006825 | Shenhav | Jan 2014 | A1 |
20140019743 | DeLuca | Jan 2014 | A1 |
20140034929 | Hamada et al. | Feb 2014 | A1 |
20140046464 | Reimann | Feb 2014 | A1 |
20140056435 | Kjems et al. | Feb 2014 | A1 |
20140064476 | Mani et al. | Mar 2014 | A1 |
20140064501 | Olsen et al. | Mar 2014 | A1 |
20140073298 | Rossmann | Mar 2014 | A1 |
20140075306 | Rega | Mar 2014 | A1 |
20140075311 | Boettcher et al. | Mar 2014 | A1 |
20140094151 | Klappert et al. | Apr 2014 | A1 |
20140100854 | Chen et al. | Apr 2014 | A1 |
20140108010 | Maltseff et al. | Apr 2014 | A1 |
20140109138 | Cannistraro et al. | Apr 2014 | A1 |
20140122075 | Bak et al. | May 2014 | A1 |
20140126745 | Dickins et al. | May 2014 | A1 |
20140136195 | Abdossalami et al. | May 2014 | A1 |
20140145168 | Ohsawa et al. | May 2014 | A1 |
20140146983 | Kim et al. | May 2014 | A1 |
20140149118 | Lee et al. | May 2014 | A1 |
20140159581 | Pruemmer et al. | Jun 2014 | A1 |
20140161263 | Koishida et al. | Jun 2014 | A1 |
20140163978 | Basye et al. | Jun 2014 | A1 |
20140164400 | Kruglick | Jun 2014 | A1 |
20140167931 | Lee et al. | Jun 2014 | A1 |
20140168344 | Shoemake et al. | Jun 2014 | A1 |
20140172899 | Hakkani-Tur et al. | Jun 2014 | A1 |
20140172953 | Blanksteen | Jun 2014 | A1 |
20140181271 | Millington | Jun 2014 | A1 |
20140188476 | Li et al. | Jul 2014 | A1 |
20140192986 | Lee et al. | Jul 2014 | A1 |
20140195252 | Gruber et al. | Jul 2014 | A1 |
20140200881 | Chatlani | Jul 2014 | A1 |
20140207457 | Biatov et al. | Jul 2014 | A1 |
20140214429 | Pantel | Jul 2014 | A1 |
20140215332 | Lee et al. | Jul 2014 | A1 |
20140219472 | Huang et al. | Aug 2014 | A1 |
20140222436 | Binder et al. | Aug 2014 | A1 |
20140229184 | Shires | Aug 2014 | A1 |
20140229959 | Beckhardt et al. | Aug 2014 | A1 |
20140244013 | Reilly | Aug 2014 | A1 |
20140244269 | Tokutake | Aug 2014 | A1 |
20140244712 | Walters et al. | Aug 2014 | A1 |
20140249817 | Hart et al. | Sep 2014 | A1 |
20140252386 | Ito et al. | Sep 2014 | A1 |
20140254805 | Su et al. | Sep 2014 | A1 |
20140258292 | Thramann et al. | Sep 2014 | A1 |
20140259075 | Chang et al. | Sep 2014 | A1 |
20140269757 | Park et al. | Sep 2014 | A1 |
20140270216 | Tsilfidis et al. | Sep 2014 | A1 |
20140270282 | Tammi et al. | Sep 2014 | A1 |
20140274185 | Luna et al. | Sep 2014 | A1 |
20140274203 | Ganong, III et al. | Sep 2014 | A1 |
20140274218 | Kadiwala et al. | Sep 2014 | A1 |
20140277650 | Zurek et al. | Sep 2014 | A1 |
20140278372 | Nakadai et al. | Sep 2014 | A1 |
20140278445 | Eddington, Jr. | Sep 2014 | A1 |
20140278933 | McMillan | Sep 2014 | A1 |
20140288686 | Sant et al. | Sep 2014 | A1 |
20140291642 | Watabe et al. | Oct 2014 | A1 |
20140303969 | Inose et al. | Oct 2014 | A1 |
20140310002 | Nitz et al. | Oct 2014 | A1 |
20140310614 | Jones | Oct 2014 | A1 |
20140324203 | Coburn, IV et al. | Oct 2014 | A1 |
20140328490 | Mohammad et al. | Nov 2014 | A1 |
20140330896 | Addala et al. | Nov 2014 | A1 |
20140334645 | Yun et al. | Nov 2014 | A1 |
20140340888 | Ishisone et al. | Nov 2014 | A1 |
20140357248 | Tonshal et al. | Dec 2014 | A1 |
20140358535 | Lee et al. | Dec 2014 | A1 |
20140363022 | Dizon et al. | Dec 2014 | A1 |
20140363024 | Apodaca | Dec 2014 | A1 |
20140365225 | Haiut | Dec 2014 | A1 |
20140365227 | Cash et al. | Dec 2014 | A1 |
20140368734 | Hoffert et al. | Dec 2014 | A1 |
20140369491 | Kloberdans et al. | Dec 2014 | A1 |
20140372109 | Iyer | Dec 2014 | A1 |
20150006176 | Pogue et al. | Jan 2015 | A1 |
20150006184 | Marti et al. | Jan 2015 | A1 |
20150010169 | Popova et al. | Jan 2015 | A1 |
20150014680 | Yamazaki et al. | Jan 2015 | A1 |
20150016642 | Walsh et al. | Jan 2015 | A1 |
20150018992 | Griffiths et al. | Jan 2015 | A1 |
20150019201 | Schoenbach | Jan 2015 | A1 |
20150019219 | Tzirkel-Hancock et al. | Jan 2015 | A1 |
20150030172 | Gaensler et al. | Jan 2015 | A1 |
20150032443 | Karov et al. | Jan 2015 | A1 |
20150032456 | Wait | Jan 2015 | A1 |
20150036831 | Klippel | Feb 2015 | A1 |
20150039303 | Lesso et al. | Feb 2015 | A1 |
20150039310 | Clark et al. | Feb 2015 | A1 |
20150039311 | Clark et al. | Feb 2015 | A1 |
20150039317 | Klein et al. | Feb 2015 | A1 |
20150058018 | Georges et al. | Feb 2015 | A1 |
20150063580 | Huang et al. | Mar 2015 | A1 |
20150066479 | Pasupalak et al. | Mar 2015 | A1 |
20150086034 | Lombardi et al. | Mar 2015 | A1 |
20150088500 | Conliffe | Mar 2015 | A1 |
20150091709 | Reichert et al. | Apr 2015 | A1 |
20150092947 | Gossain et al. | Apr 2015 | A1 |
20150104037 | Lee et al. | Apr 2015 | A1 |
20150106085 | Lindahl | Apr 2015 | A1 |
20150110294 | Chen et al. | Apr 2015 | A1 |
20150112672 | Giacobello et al. | Apr 2015 | A1 |
20150124975 | Pontoppidan | May 2015 | A1 |
20150126255 | Yang et al. | May 2015 | A1 |
20150128065 | Torii et al. | May 2015 | A1 |
20150134456 | Baldwin | May 2015 | A1 |
20150154953 | Bapat et al. | Jun 2015 | A1 |
20150154976 | Mutagi | Jun 2015 | A1 |
20150161990 | Sharifi | Jun 2015 | A1 |
20150169279 | Duga | Jun 2015 | A1 |
20150170645 | Di Censo et al. | Jun 2015 | A1 |
20150170665 | Gundeti et al. | Jun 2015 | A1 |
20150172843 | Quan | Jun 2015 | A1 |
20150179181 | Morris et al. | Jun 2015 | A1 |
20150180432 | Gao et al. | Jun 2015 | A1 |
20150181318 | Gautama et al. | Jun 2015 | A1 |
20150189438 | Hampiholi et al. | Jul 2015 | A1 |
20150200454 | Heusdens et al. | Jul 2015 | A1 |
20150200923 | Triplett | Jul 2015 | A1 |
20150201271 | Diethorn et al. | Jul 2015 | A1 |
20150221307 | Shah et al. | Aug 2015 | A1 |
20150221678 | Yamazaki et al. | Aug 2015 | A1 |
20150222563 | Burns et al. | Aug 2015 | A1 |
20150222987 | Angel, Jr. et al. | Aug 2015 | A1 |
20150228274 | Leppanen et al. | Aug 2015 | A1 |
20150228803 | Koezuka et al. | Aug 2015 | A1 |
20150237406 | Ochoa et al. | Aug 2015 | A1 |
20150243287 | Nakano et al. | Aug 2015 | A1 |
20150245152 | Ding et al. | Aug 2015 | A1 |
20150245154 | Dadu et al. | Aug 2015 | A1 |
20150249889 | Iyer et al. | Sep 2015 | A1 |
20150253292 | Larkin et al. | Sep 2015 | A1 |
20150253960 | Lin et al. | Sep 2015 | A1 |
20150254057 | Klein et al. | Sep 2015 | A1 |
20150263174 | Yamazaki et al. | Sep 2015 | A1 |
20150271593 | Sun et al. | Sep 2015 | A1 |
20150277846 | Yen et al. | Oct 2015 | A1 |
20150280676 | Holman et al. | Oct 2015 | A1 |
20150296299 | Klippel et al. | Oct 2015 | A1 |
20150302856 | Kim et al. | Oct 2015 | A1 |
20150319529 | Klippel | Nov 2015 | A1 |
20150325267 | Lee et al. | Nov 2015 | A1 |
20150331663 | Beckhardt et al. | Nov 2015 | A1 |
20150334471 | Innes et al. | Nov 2015 | A1 |
20150338917 | Steiner et al. | Nov 2015 | A1 |
20150341406 | Rockefeller et al. | Nov 2015 | A1 |
20150346845 | Di Censo et al. | Dec 2015 | A1 |
20150348548 | Piernot et al. | Dec 2015 | A1 |
20150348551 | Gruber et al. | Dec 2015 | A1 |
20150355878 | Corbin | Dec 2015 | A1 |
20150363061 | De Nigris, III et al. | Dec 2015 | A1 |
20150363401 | Chen et al. | Dec 2015 | A1 |
20150370531 | Faaborg | Dec 2015 | A1 |
20150371657 | Gao | Dec 2015 | A1 |
20150371659 | Gao | Dec 2015 | A1 |
20150371664 | Bar-Or et al. | Dec 2015 | A1 |
20150373100 | Kravets et al. | Dec 2015 | A1 |
20150380010 | Srinivasan | Dec 2015 | A1 |
20150382047 | Van Os et al. | Dec 2015 | A1 |
20150382128 | Ridihalgh et al. | Dec 2015 | A1 |
20160007116 | Holman | Jan 2016 | A1 |
20160018873 | Fernald et al. | Jan 2016 | A1 |
20160021458 | Johnson et al. | Jan 2016 | A1 |
20160026428 | Morganstern et al. | Jan 2016 | A1 |
20160027440 | Gelfenbeyn et al. | Jan 2016 | A1 |
20160029142 | Isaac et al. | Jan 2016 | A1 |
20160035321 | Cho et al. | Feb 2016 | A1 |
20160035337 | Aggarwal et al. | Feb 2016 | A1 |
20160036962 | Rand et al. | Feb 2016 | A1 |
20160042748 | Jain et al. | Feb 2016 | A1 |
20160044151 | Shoemaker et al. | Feb 2016 | A1 |
20160050488 | Matheja et al. | Feb 2016 | A1 |
20160055847 | Dahan | Feb 2016 | A1 |
20160055850 | Nakadai et al. | Feb 2016 | A1 |
20160057522 | Choisel et al. | Feb 2016 | A1 |
20160066087 | Solbach et al. | Mar 2016 | A1 |
20160070526 | Sheen | Mar 2016 | A1 |
20160072804 | Chien et al. | Mar 2016 | A1 |
20160077710 | Lewis et al. | Mar 2016 | A1 |
20160077794 | Kim et al. | Mar 2016 | A1 |
20160086609 | Yue et al. | Mar 2016 | A1 |
20160088036 | Corbin et al. | Mar 2016 | A1 |
20160088392 | Huttunen et al. | Mar 2016 | A1 |
20160093281 | Kuo et al. | Mar 2016 | A1 |
20160093304 | Kim et al. | Mar 2016 | A1 |
20160094718 | Mani et al. | Mar 2016 | A1 |
20160094917 | Wilk et al. | Mar 2016 | A1 |
20160098393 | Hebert | Apr 2016 | A1 |
20160098992 | Renard et al. | Apr 2016 | A1 |
20160103653 | Jang | Apr 2016 | A1 |
20160104480 | Sharifi | Apr 2016 | A1 |
20160111110 | Gautama et al. | Apr 2016 | A1 |
20160125876 | Schroeter et al. | May 2016 | A1 |
20160127780 | Roberts et al. | May 2016 | A1 |
20160133259 | Rubin et al. | May 2016 | A1 |
20160134924 | Bush et al. | May 2016 | A1 |
20160134966 | Fitzgerald et al. | May 2016 | A1 |
20160134982 | Iyer | May 2016 | A1 |
20160140957 | Duta et al. | May 2016 | A1 |
20160148612 | Guo et al. | May 2016 | A1 |
20160148615 | Lee et al. | May 2016 | A1 |
20160154089 | Altman | Jun 2016 | A1 |
20160155442 | Kannan et al. | Jun 2016 | A1 |
20160155443 | Khan et al. | Jun 2016 | A1 |
20160157035 | Russell et al. | Jun 2016 | A1 |
20160162469 | Santos | Jun 2016 | A1 |
20160171976 | Sun et al. | Jun 2016 | A1 |
20160173578 | Sharma et al. | Jun 2016 | A1 |
20160173983 | Berthelsen et al. | Jun 2016 | A1 |
20160180853 | Vanlund et al. | Jun 2016 | A1 |
20160189716 | Lindahl et al. | Jun 2016 | A1 |
20160192099 | Oishi et al. | Jun 2016 | A1 |
20160196499 | Khan et al. | Jul 2016 | A1 |
20160203331 | Khan et al. | Jul 2016 | A1 |
20160210110 | Feldman | Jul 2016 | A1 |
20160212488 | Os et al. | Jul 2016 | A1 |
20160212538 | Fullam et al. | Jul 2016 | A1 |
20160216938 | Millington | Jul 2016 | A1 |
20160217789 | Lee et al. | Jul 2016 | A1 |
20160225385 | Hammarqvist | Aug 2016 | A1 |
20160232451 | Scherzer | Aug 2016 | A1 |
20160234204 | Rishi et al. | Aug 2016 | A1 |
20160239255 | Chavez et al. | Aug 2016 | A1 |
20160240192 | Raghuvir | Aug 2016 | A1 |
20160241976 | Pearson | Aug 2016 | A1 |
20160253050 | Mishra et al. | Sep 2016 | A1 |
20160260431 | Newendorp et al. | Sep 2016 | A1 |
20160283841 | Sainath et al. | Sep 2016 | A1 |
20160299737 | Clayton et al. | Oct 2016 | A1 |
20160302018 | Russell et al. | Oct 2016 | A1 |
20160314782 | Klimanis | Oct 2016 | A1 |
20160316293 | Klimanis | Oct 2016 | A1 |
20160322045 | Hatfield et al. | Nov 2016 | A1 |
20160336519 | Seo et al. | Nov 2016 | A1 |
20160343866 | Koezuka et al. | Nov 2016 | A1 |
20160343949 | Seo et al. | Nov 2016 | A1 |
20160343954 | Seo et al. | Nov 2016 | A1 |
20160345114 | Hanna et al. | Nov 2016 | A1 |
20160352915 | Gautama | Dec 2016 | A1 |
20160353217 | Starobin et al. | Dec 2016 | A1 |
20160353218 | Starobin et al. | Dec 2016 | A1 |
20160357503 | Triplett et al. | Dec 2016 | A1 |
20160364206 | Keyser-Allen et al. | Dec 2016 | A1 |
20160366515 | Mendes et al. | Dec 2016 | A1 |
20160372113 | David et al. | Dec 2016 | A1 |
20160372688 | Seo et al. | Dec 2016 | A1 |
20160373269 | Okubo et al. | Dec 2016 | A1 |
20160373909 | Rasmussen et al. | Dec 2016 | A1 |
20160379634 | Yamamoto et al. | Dec 2016 | A1 |
20170003931 | Dvortsov et al. | Jan 2017 | A1 |
20170012207 | Seo et al. | Jan 2017 | A1 |
20170012232 | Kataishi et al. | Jan 2017 | A1 |
20170019732 | Mendes et al. | Jan 2017 | A1 |
20170025124 | Mixter et al. | Jan 2017 | A1 |
20170025615 | Seo et al. | Jan 2017 | A1 |
20170025630 | Seo et al. | Jan 2017 | A1 |
20170026769 | Patel | Jan 2017 | A1 |
20170032244 | Kurata | Feb 2017 | A1 |
20170034263 | Archambault et al. | Feb 2017 | A1 |
20170039025 | Kielak | Feb 2017 | A1 |
20170040002 | Basson et al. | Feb 2017 | A1 |
20170040018 | Tormey | Feb 2017 | A1 |
20170041724 | Master et al. | Feb 2017 | A1 |
20170053648 | Chi | Feb 2017 | A1 |
20170053650 | Ogawa | Feb 2017 | A1 |
20170060526 | Barton et al. | Mar 2017 | A1 |
20170062734 | Suzuki et al. | Mar 2017 | A1 |
20170070478 | Park et al. | Mar 2017 | A1 |
20170076212 | Shams et al. | Mar 2017 | A1 |
20170076720 | Gopalan et al. | Mar 2017 | A1 |
20170076726 | Bae | Mar 2017 | A1 |
20170078824 | Heo | Mar 2017 | A1 |
20170083285 | Meyers et al. | Mar 2017 | A1 |
20170083606 | Mohan | Mar 2017 | A1 |
20170084277 | Sharifi | Mar 2017 | A1 |
20170084278 | Jung | Mar 2017 | A1 |
20170084292 | Yoo | Mar 2017 | A1 |
20170084295 | Tsiartas et al. | Mar 2017 | A1 |
20170090864 | Jorgovanovic | Mar 2017 | A1 |
20170092278 | Evermann et al. | Mar 2017 | A1 |
20170092297 | Sainath et al. | Mar 2017 | A1 |
20170092299 | Matsuo | Mar 2017 | A1 |
20170092889 | Seo et al. | Mar 2017 | A1 |
20170092890 | Seo et al. | Mar 2017 | A1 |
20170094215 | Western | Mar 2017 | A1 |
20170103748 | Weissberg et al. | Apr 2017 | A1 |
20170103754 | Higbie et al. | Apr 2017 | A1 |
20170103755 | Jeon et al. | Apr 2017 | A1 |
20170110124 | Boesen et al. | Apr 2017 | A1 |
20170110130 | Sharifi et al. | Apr 2017 | A1 |
20170110144 | Sharifi et al. | Apr 2017 | A1 |
20170117497 | Seo et al. | Apr 2017 | A1 |
20170123251 | Nakada et al. | May 2017 | A1 |
20170125037 | Shin | May 2017 | A1 |
20170125456 | Kasahara | May 2017 | A1 |
20170133007 | Drewes | May 2017 | A1 |
20170133011 | Chen et al. | May 2017 | A1 |
20170134872 | Silva et al. | May 2017 | A1 |
20170139720 | Stein | May 2017 | A1 |
20170140449 | Kannan | May 2017 | A1 |
20170140748 | Roberts et al. | May 2017 | A1 |
20170140750 | Wang et al. | May 2017 | A1 |
20170140757 | Penilla et al. | May 2017 | A1 |
20170140759 | Kumar et al. | May 2017 | A1 |
20170151930 | Boesen | Jun 2017 | A1 |
20170164139 | Deselaers et al. | Jun 2017 | A1 |
20170177585 | Rodger et al. | Jun 2017 | A1 |
20170178662 | Ayrapetian et al. | Jun 2017 | A1 |
20170180561 | Kadiwala et al. | Jun 2017 | A1 |
20170186425 | Dawes et al. | Jun 2017 | A1 |
20170186427 | Wang et al. | Jun 2017 | A1 |
20170188150 | Brunet et al. | Jun 2017 | A1 |
20170188437 | Banta | Jun 2017 | A1 |
20170193999 | Aleksic et al. | Jul 2017 | A1 |
20170206896 | Ko et al. | Jul 2017 | A1 |
20170206900 | Lee et al. | Jul 2017 | A1 |
20170214996 | Yeo | Jul 2017 | A1 |
20170236512 | Williams et al. | Aug 2017 | A1 |
20170236515 | Pinsky et al. | Aug 2017 | A1 |
20170242649 | Jarvis et al. | Aug 2017 | A1 |
20170242651 | Lang et al. | Aug 2017 | A1 |
20170242653 | Lang et al. | Aug 2017 | A1 |
20170242656 | Plagge et al. | Aug 2017 | A1 |
20170242657 | Jarvis et al. | Aug 2017 | A1 |
20170243576 | Millington et al. | Aug 2017 | A1 |
20170243587 | Plagge et al. | Aug 2017 | A1 |
20170245076 | Kusano et al. | Aug 2017 | A1 |
20170255612 | Sarikaya et al. | Sep 2017 | A1 |
20170257686 | Gautama et al. | Sep 2017 | A1 |
20170269900 | Triplett | Sep 2017 | A1 |
20170269975 | Wood et al. | Sep 2017 | A1 |
20170270919 | Parthasarathi et al. | Sep 2017 | A1 |
20170278512 | Pandya et al. | Sep 2017 | A1 |
20170287485 | Civelli et al. | Oct 2017 | A1 |
20170300289 | Gattis | Oct 2017 | A1 |
20170300990 | Tanaka et al. | Oct 2017 | A1 |
20170329397 | Lin | Nov 2017 | A1 |
20170330565 | Daley et al. | Nov 2017 | A1 |
20170331869 | Bendahan et al. | Nov 2017 | A1 |
20170332168 | Moghimi et al. | Nov 2017 | A1 |
20170346872 | Naik et al. | Nov 2017 | A1 |
20170352357 | Fink | Dec 2017 | A1 |
20170353789 | Kim et al. | Dec 2017 | A1 |
20170357390 | Alonso Ruiz et al. | Dec 2017 | A1 |
20170357475 | Lee et al. | Dec 2017 | A1 |
20170357478 | Piersol et al. | Dec 2017 | A1 |
20170364371 | Nandi et al. | Dec 2017 | A1 |
20170365247 | Ushakov | Dec 2017 | A1 |
20170366393 | Shaker et al. | Dec 2017 | A1 |
20170374454 | Bernardini et al. | Dec 2017 | A1 |
20170374552 | Xia et al. | Dec 2017 | A1 |
20180012077 | Laska et al. | Jan 2018 | A1 |
20180018964 | Reilly et al. | Jan 2018 | A1 |
20180018965 | Daley | Jan 2018 | A1 |
20180018967 | Lang et al. | Jan 2018 | A1 |
20180020306 | Sheen | Jan 2018 | A1 |
20180025733 | Qian et al. | Jan 2018 | A1 |
20180033428 | Kim et al. | Feb 2018 | A1 |
20180033438 | Toma et al. | Feb 2018 | A1 |
20180040324 | Wilberding | Feb 2018 | A1 |
20180047394 | Tian et al. | Feb 2018 | A1 |
20180053504 | Wang et al. | Feb 2018 | A1 |
20180054506 | Hart et al. | Feb 2018 | A1 |
20180061396 | Srinivasan et al. | Mar 2018 | A1 |
20180061402 | Devaraj et al. | Mar 2018 | A1 |
20180061404 | Devaraj et al. | Mar 2018 | A1 |
20180061409 | Valentine et al. | Mar 2018 | A1 |
20180061419 | Melendo Casado et al. | Mar 2018 | A1 |
20180061420 | Patil et al. | Mar 2018 | A1 |
20180062871 | Jones et al. | Mar 2018 | A1 |
20180084367 | Greff et al. | Mar 2018 | A1 |
20180088900 | Glaser et al. | Mar 2018 | A1 |
20180091898 | Yoon et al. | Mar 2018 | A1 |
20180091913 | Hartung et al. | Mar 2018 | A1 |
20180096678 | Zhou et al. | Apr 2018 | A1 |
20180096683 | James et al. | Apr 2018 | A1 |
20180096696 | Mixter | Apr 2018 | A1 |
20180107446 | Wilberding et al. | Apr 2018 | A1 |
20180108351 | Beckhardt et al. | Apr 2018 | A1 |
20180122372 | Wanderlust | May 2018 | A1 |
20180122378 | Mixter et al. | May 2018 | A1 |
20180130469 | Gruenstein et al. | May 2018 | A1 |
20180132217 | Stirling-Gallacher | May 2018 | A1 |
20180132298 | Birnam et al. | May 2018 | A1 |
20180137857 | Zhou et al. | May 2018 | A1 |
20180137861 | Ogawa | May 2018 | A1 |
20180139512 | Moran et al. | May 2018 | A1 |
20180152557 | White et al. | May 2018 | A1 |
20180158454 | Campbell et al. | Jun 2018 | A1 |
20180165055 | Yu et al. | Jun 2018 | A1 |
20180167981 | Jonna et al. | Jun 2018 | A1 |
20180174597 | Lee et al. | Jun 2018 | A1 |
20180182383 | Kim et al. | Jun 2018 | A1 |
20180182390 | Hughes et al. | Jun 2018 | A1 |
20180182397 | Carbune et al. | Jun 2018 | A1 |
20180182410 | Kaskari et al. | Jun 2018 | A1 |
20180188948 | Ouyang et al. | Jul 2018 | A1 |
20180190274 | Kirazci et al. | Jul 2018 | A1 |
20180190285 | Heckmann et al. | Jul 2018 | A1 |
20180196776 | Hershko et al. | Jul 2018 | A1 |
20180197533 | Lyon et al. | Jul 2018 | A1 |
20180199130 | Jaffe et al. | Jul 2018 | A1 |
20180199146 | Sheen | Jul 2018 | A1 |
20180204569 | Nadkar et al. | Jul 2018 | A1 |
20180205963 | Matei et al. | Jul 2018 | A1 |
20180210698 | Park et al. | Jul 2018 | A1 |
20180211665 | Park et al. | Jul 2018 | A1 |
20180218747 | Moghimi et al. | Aug 2018 | A1 |
20180219976 | Decenzo et al. | Aug 2018 | A1 |
20180225933 | Park et al. | Aug 2018 | A1 |
20180228006 | Baker et al. | Aug 2018 | A1 |
20180233130 | Kaskari et al. | Aug 2018 | A1 |
20180233136 | Torok et al. | Aug 2018 | A1 |
20180233137 | Torok et al. | Aug 2018 | A1 |
20180233139 | Finkelstein et al. | Aug 2018 | A1 |
20180233141 | Solomon et al. | Aug 2018 | A1 |
20180233142 | Koishida et al. | Aug 2018 | A1 |
20180233150 | Gruenstein et al. | Aug 2018 | A1 |
20180234765 | Torok et al. | Aug 2018 | A1 |
20180260680 | Finkelstein et al. | Sep 2018 | A1 |
20180261213 | Arik et al. | Sep 2018 | A1 |
20180262793 | Lau et al. | Sep 2018 | A1 |
20180262831 | Matheja et al. | Sep 2018 | A1 |
20180270565 | Ganeshkumar | Sep 2018 | A1 |
20180270573 | Lang et al. | Sep 2018 | A1 |
20180277107 | Kim | Sep 2018 | A1 |
20180277113 | Hartung et al. | Sep 2018 | A1 |
20180277119 | Baba et al. | Sep 2018 | A1 |
20180277133 | Deetz et al. | Sep 2018 | A1 |
20180286394 | Li et al. | Oct 2018 | A1 |
20180286414 | Ravindran et al. | Oct 2018 | A1 |
20180293221 | Finkelstein et al. | Oct 2018 | A1 |
20180293484 | Wang et al. | Oct 2018 | A1 |
20180301147 | Kim | Oct 2018 | A1 |
20180308470 | Park et al. | Oct 2018 | A1 |
20180314552 | Kim et al. | Nov 2018 | A1 |
20180322891 | Van Den Oord et al. | Nov 2018 | A1 |
20180324756 | Ryu et al. | Nov 2018 | A1 |
20180330727 | Tulli | Nov 2018 | A1 |
20180335903 | Coffman et al. | Nov 2018 | A1 |
20180336274 | Choudhury et al. | Nov 2018 | A1 |
20180336892 | Kim et al. | Nov 2018 | A1 |
20180349093 | McCarty et al. | Dec 2018 | A1 |
20180350356 | Garcia | Dec 2018 | A1 |
20180350379 | Wung et al. | Dec 2018 | A1 |
20180352334 | Family et al. | Dec 2018 | A1 |
20180356962 | Corbin | Dec 2018 | A1 |
20180358009 | Daley et al. | Dec 2018 | A1 |
20180358019 | Mont-Reynaud | Dec 2018 | A1 |
20180365567 | Kolavennu et al. | Dec 2018 | A1 |
20180367944 | Heo et al. | Dec 2018 | A1 |
20190012141 | Piersol et al. | Jan 2019 | A1 |
20190013019 | Lawrence | Jan 2019 | A1 |
20190014592 | Hampel et al. | Jan 2019 | A1 |
20190019112 | Gelfenbeyn et al. | Jan 2019 | A1 |
20190033446 | Bultan et al. | Jan 2019 | A1 |
20190035404 | Gabel et al. | Jan 2019 | A1 |
20190037173 | Lee et al. | Jan 2019 | A1 |
20190042187 | Truong et al. | Feb 2019 | A1 |
20190043488 | Bocklet et al. | Feb 2019 | A1 |
20190043492 | Lang | Feb 2019 | A1 |
20190051298 | Lee et al. | Feb 2019 | A1 |
20190066672 | Wood et al. | Feb 2019 | A1 |
20190066687 | Wood et al. | Feb 2019 | A1 |
20190066710 | Bryan et al. | Feb 2019 | A1 |
20190073999 | Prémont et al. | Mar 2019 | A1 |
20190074025 | Lashkari et al. | Mar 2019 | A1 |
20190079724 | Feuz et al. | Mar 2019 | A1 |
20190081507 | Ide | Mar 2019 | A1 |
20190081810 | Jung | Mar 2019 | A1 |
20190082255 | Tajiri et al. | Mar 2019 | A1 |
20190087455 | He et al. | Mar 2019 | A1 |
20190088261 | Lang et al. | Mar 2019 | A1 |
20190090056 | Rexach et al. | Mar 2019 | A1 |
20190096408 | Li et al. | Mar 2019 | A1 |
20190098400 | Buoni et al. | Mar 2019 | A1 |
20190104119 | Giorgi et al. | Apr 2019 | A1 |
20190104373 | Wodrich et al. | Apr 2019 | A1 |
20190108839 | Reilly et al. | Apr 2019 | A1 |
20190115011 | Khellah et al. | Apr 2019 | A1 |
20190122662 | Chang et al. | Apr 2019 | A1 |
20190130906 | Kobayashi et al. | May 2019 | A1 |
20190156847 | Bryan et al. | May 2019 | A1 |
20190163153 | Price et al. | May 2019 | A1 |
20190172452 | Smith et al. | Jun 2019 | A1 |
20190172467 | Kim et al. | Jun 2019 | A1 |
20190172476 | Wung et al. | Jun 2019 | A1 |
20190173687 | Mackay et al. | Jun 2019 | A1 |
20190179607 | Thangarathnam et al. | Jun 2019 | A1 |
20190179611 | Wojogbe et al. | Jun 2019 | A1 |
20190182072 | Roe et al. | Jun 2019 | A1 |
20190186937 | Sharifi et al. | Jun 2019 | A1 |
20190188328 | Oyenan et al. | Jun 2019 | A1 |
20190189117 | Kumar | Jun 2019 | A1 |
20190206391 | Busch et al. | Jul 2019 | A1 |
20190206405 | Gillespie et al. | Jul 2019 | A1 |
20190206412 | Li et al. | Jul 2019 | A1 |
20190219976 | Giorgi et al. | Jul 2019 | A1 |
20190220246 | Orr et al. | Jul 2019 | A1 |
20190221206 | Chen et al. | Jul 2019 | A1 |
20190237067 | Friedman et al. | Aug 2019 | A1 |
20190237089 | Shin | Aug 2019 | A1 |
20190239008 | Lambourne | Aug 2019 | A1 |
20190239009 | Lambourne | Aug 2019 | A1 |
20190243603 | Keyser-Allen et al. | Aug 2019 | A1 |
20190243606 | Jayakumar et al. | Aug 2019 | A1 |
20190244608 | Choi et al. | Aug 2019 | A1 |
20190251960 | Maker et al. | Aug 2019 | A1 |
20190281397 | Lambourne | Sep 2019 | A1 |
20190287536 | Sharifi et al. | Sep 2019 | A1 |
20190287546 | Ganeshkumar | Sep 2019 | A1 |
20190288970 | Siddiq | Sep 2019 | A1 |
20190289367 | Siddiq | Sep 2019 | A1 |
20190295542 | Huang et al. | Sep 2019 | A1 |
20190295555 | Wilberding | Sep 2019 | A1 |
20190295556 | Wilberding | Sep 2019 | A1 |
20190295563 | Kamdar et al. | Sep 2019 | A1 |
20190297388 | Panchaksharaiah et al. | Sep 2019 | A1 |
20190304443 | Bhagwan | Oct 2019 | A1 |
20190311710 | Eraslan et al. | Oct 2019 | A1 |
20190311712 | Firik et al. | Oct 2019 | A1 |
20190311715 | Pfeffinger et al. | Oct 2019 | A1 |
20190311718 | Huber et al. | Oct 2019 | A1 |
20190311720 | Pasko | Oct 2019 | A1 |
20190311722 | Caldwell | Oct 2019 | A1 |
20190317606 | Jain et al. | Oct 2019 | A1 |
20190318729 | Chao et al. | Oct 2019 | A1 |
20190325870 | Mitic | Oct 2019 | A1 |
20190325888 | Geng | Oct 2019 | A1 |
20190341037 | Bromand et al. | Nov 2019 | A1 |
20190341038 | Bromand et al. | Nov 2019 | A1 |
20190342962 | Chang et al. | Nov 2019 | A1 |
20190347063 | Liu et al. | Nov 2019 | A1 |
20190348044 | Chun et al. | Nov 2019 | A1 |
20190362714 | Mori et al. | Nov 2019 | A1 |
20190364375 | Soto et al. | Nov 2019 | A1 |
20190364422 | Zhuo | Nov 2019 | A1 |
20190371310 | Fox et al. | Dec 2019 | A1 |
20190371324 | Powell et al. | Dec 2019 | A1 |
20190371342 | Tukka et al. | Dec 2019 | A1 |
20190392832 | Mitsui et al. | Dec 2019 | A1 |
20200007987 | Woo et al. | Jan 2020 | A1 |
20200034492 | Verbeke et al. | Jan 2020 | A1 |
20200043489 | Bradley et al. | Feb 2020 | A1 |
20200051554 | Kim et al. | Feb 2020 | A1 |
20200074990 | Kim et al. | Mar 2020 | A1 |
20200090647 | Kurtz | Mar 2020 | A1 |
20200092687 | Devaraj et al. | Mar 2020 | A1 |
20200098354 | Lin et al. | Mar 2020 | A1 |
20200098379 | Tai et al. | Mar 2020 | A1 |
20200105245 | Gupta et al. | Apr 2020 | A1 |
20200105256 | Fainberg et al. | Apr 2020 | A1 |
20200105264 | Jang et al. | Apr 2020 | A1 |
20200110571 | Liu et al. | Apr 2020 | A1 |
20200125162 | D'Amato et al. | Apr 2020 | A1 |
20200135194 | Jeong | Apr 2020 | A1 |
20200135224 | Bromand et al. | Apr 2020 | A1 |
20200152206 | Shen et al. | May 2020 | A1 |
20200175989 | Lockhart et al. | Jun 2020 | A1 |
20200184964 | Myers et al. | Jun 2020 | A1 |
20200184980 | Wilberding | Jun 2020 | A1 |
20200193973 | Tolomei et al. | Jun 2020 | A1 |
20200211539 | Lee | Jul 2020 | A1 |
20200211550 | Pan et al. | Jul 2020 | A1 |
20200211556 | Mixter et al. | Jul 2020 | A1 |
20200213729 | Soto | Jul 2020 | A1 |
20200216089 | Garcia et al. | Jul 2020 | A1 |
20200234709 | Kunitake | Jul 2020 | A1 |
20200251107 | Wang et al. | Aug 2020 | A1 |
20200265838 | Lee et al. | Aug 2020 | A1 |
20200310751 | Anand et al. | Oct 2020 | A1 |
20200336846 | Rohde et al. | Oct 2020 | A1 |
20200342869 | Lee et al. | Oct 2020 | A1 |
20200366477 | Brown et al. | Nov 2020 | A1 |
20200395006 | Smith et al. | Dec 2020 | A1 |
20200395010 | Smith et al. | Dec 2020 | A1 |
20200395013 | Smith et al. | Dec 2020 | A1 |
20200409652 | Wilberding et al. | Dec 2020 | A1 |
20200409926 | Srinivasan et al. | Dec 2020 | A1 |
20210035561 | D'Amato et al. | Feb 2021 | A1 |
20210035572 | D'Amato et al. | Feb 2021 | A1 |
20210067867 | Kagoshima | Mar 2021 | A1 |
20210118429 | Shan | Apr 2021 | A1 |
20210118439 | Schillmoeller et al. | Apr 2021 | A1 |
20210166680 | Jung et al. | Jun 2021 | A1 |
20210183366 | Reinspach et al. | Jun 2021 | A1 |
20210280185 | Tan et al. | Sep 2021 | A1 |
20210295849 | Van Der Ven et al. | Sep 2021 | A1 |
20220036882 | Ahn et al. | Feb 2022 | A1 |
20220050585 | Fettes et al. | Feb 2022 | A1 |
20220083136 | DeLeeuw | Mar 2022 | A1 |
Number | Date | Country |
---|---|---|
2017100486 | Jun 2017 | AU |
2017100581 | Jun 2017 | AU |
1323435 | Nov 2001 | CN |
1748250 | Mar 2006 | CN |
1781291 | May 2006 | CN |
101310558 | Nov 2008 | CN |
101427154 | May 2009 | CN |
101480039 | Jul 2009 | CN |
101661753 | Mar 2010 | CN |
101686282 | Mar 2010 | CN |
101907983 | Dec 2010 | CN |
102123188 | Jul 2011 | CN |
102256098 | Nov 2011 | CN |
102567468 | Jul 2012 | CN |
102999161 | Mar 2013 | CN |
103052001 | Apr 2013 | CN |
103181192 | Jun 2013 | CN |
103210663 | Jul 2013 | CN |
103546616 | Jan 2014 | CN |
103811007 | May 2014 | CN |
104010251 | Aug 2014 | CN |
104035743 | Sep 2014 | CN |
104053088 | Sep 2014 | CN |
104092936 | Oct 2014 | CN |
104104769 | Oct 2014 | CN |
104115224 | Oct 2014 | CN |
104282305 | Jan 2015 | CN |
104520927 | Apr 2015 | CN |
104538030 | Apr 2015 | CN |
104572009 | Apr 2015 | CN |
104575504 | Apr 2015 | CN |
104635539 | May 2015 | CN |
104865550 | Aug 2015 | CN |
104885406 | Sep 2015 | CN |
104885438 | Sep 2015 | CN |
105162886 | Dec 2015 | CN |
105187907 | Dec 2015 | CN |
105204357 | Dec 2015 | CN |
105206281 | Dec 2015 | CN |
105284076 | Jan 2016 | CN |
105284168 | Jan 2016 | CN |
105389099 | Mar 2016 | CN |
105427861 | Mar 2016 | CN |
105453179 | Mar 2016 | CN |
105472191 | Apr 2016 | CN |
105493179 | Apr 2016 | CN |
105493442 | Apr 2016 | CN |
105632486 | Jun 2016 | CN |
105679318 | Jun 2016 | CN |
106028223 | Oct 2016 | CN |
106030699 | Oct 2016 | CN |
106375902 | Feb 2017 | CN |
106531165 | Mar 2017 | CN |
106708403 | May 2017 | CN |
106796784 | May 2017 | CN |
106910500 | Jun 2017 | CN |
107004410 | Aug 2017 | CN |
107122158 | Sep 2017 | CN |
107644313 | Jan 2018 | CN |
107767863 | Mar 2018 | CN |
107832837 | Mar 2018 | CN |
107919116 | Apr 2018 | CN |
107919123 | Apr 2018 | CN |
108028047 | May 2018 | CN |
108028048 | May 2018 | CN |
108198548 | Jun 2018 | CN |
109712626 | May 2019 | CN |
1349146 | Oct 2003 | EP |
1389853 | Feb 2004 | EP |
2051542 | Apr 2009 | EP |
2166737 | Mar 2010 | EP |
2683147 | Jan 2014 | EP |
2986034 | Feb 2016 | EP |
3128767 | Feb 2017 | EP |
3133595 | Feb 2017 | EP |
2351021 | Sep 2017 | EP |
3270377 | Jan 2018 | EP |
3285502 | Feb 2018 | EP |
2501367 | Oct 2013 | GB |
S63301998 | Dec 1988 | JP |
H0883091 | Mar 1996 | JP |
2001236093 | Aug 2001 | JP |
2003223188 | Aug 2003 | JP |
2004109361 | Apr 2004 | JP |
2004163590 | Jun 2004 | JP |
2004347943 | Dec 2004 | JP |
2004354721 | Dec 2004 | JP |
2005242134 | Sep 2005 | JP |
2005250867 | Sep 2005 | JP |
2005284492 | Oct 2005 | JP |
2006092482 | Apr 2006 | JP |
2007013400 | Jan 2007 | JP |
2007142595 | Jun 2007 | JP |
2007235875 | Sep 2007 | JP |
2008079256 | Apr 2008 | JP |
2008158868 | Jul 2008 | JP |
2008217444 | Sep 2008 | JP |
2010141748 | Jun 2010 | JP |
2013037148 | Feb 2013 | JP |
2014071138 | Apr 2014 | JP |
2014510481 | Apr 2014 | JP |
2014137590 | Jul 2014 | JP |
2015161551 | Sep 2015 | JP |
2015527768 | Sep 2015 | JP |
2016095383 | May 2016 | JP |
2017072857 | Apr 2017 | JP |
2017129860 | Jul 2017 | JP |
2017227912 | Dec 2017 | JP |
2018055259 | Apr 2018 | JP |
20100036351 | Apr 2010 | KR |
100966415 | Jun 2010 | KR |
20100111071 | Oct 2010 | KR |
20130050987 | May 2013 | KR |
20140005410 | Jan 2014 | KR |
20140035310 | Mar 2014 | KR |
20140054643 | May 2014 | KR |
20140111859 | Sep 2014 | KR |
20140112900 | Sep 2014 | KR |
201629950 | Aug 2016 | TW |
200153994 | Jul 2001 | WO |
03054854 | Jul 2003 | WO |
2003093950 | Nov 2003 | WO |
2008048599 | Apr 2008 | WO |
2008096414 | Aug 2008 | WO |
2012166386 | Dec 2012 | WO |
2013184792 | Dec 2013 | WO |
2014064531 | May 2014 | WO |
2014159581 | Oct 2014 | WO |
2015017303 | Feb 2015 | WO |
2015037396 | Mar 2015 | WO |
2015105788 | Jul 2015 | WO |
2015131024 | Sep 2015 | WO |
2015133022 | Sep 2015 | WO |
2015178950 | Nov 2015 | WO |
2015195216 | Dec 2015 | WO |
2016003509 | Jan 2016 | WO |
2016014142 | Jan 2016 | WO |
2016014686 | Jan 2016 | WO |
2016022926 | Feb 2016 | WO |
2016033364 | Mar 2016 | WO |
2016057268 | Apr 2016 | WO |
2016085775 | Jun 2016 | WO |
2016136062 | Sep 2016 | WO |
2016165067 | Oct 2016 | WO |
2016171956 | Oct 2016 | WO |
2016200593 | Dec 2016 | WO |
2017039632 | Mar 2017 | WO |
2017058654 | Apr 2017 | WO |
2017138934 | Aug 2017 | WO |
2017147075 | Aug 2017 | WO |
2017147936 | Sep 2017 | WO |
2018027142 | Feb 2018 | WO |
2018067404 | Apr 2018 | WO |
2018140777 | Aug 2018 | WO |
2019005772 | Jan 2019 | WO |
Entry |
---|
US 9,299,346 B1, 03/2016, Hart et al. (withdrawn) |
Non-Final Office Action dated Oct. 27, 2020, issued in connection with U.S. Appl. No. 16/819,755, filed Mar. 16, 2020, 8 pages. |
Non-Final Office Action dated Mar. 28, 2022, issued in connection with U.S. Appl. No. 17/222,151, filed Apr. 5, 2021, 5 pages. |
Non-Final Office Action dated Oct. 28, 2019, issued in connection with U.S. Appl. No. 16/145,275, filed Sep. 28, 2018, 11 pages. |
Non-Final Office Action dated Oct. 28, 2021, issued in connection with U.S. Appl. No. 16/378,516, filed Apr. 8, 2019, 10 pages. |
Non-Final Office Action dated Oct. 28, 2021, issued in connection with U.S. Appl. No. 17/247,736, filed Dec. 21, 2020, 12 pages. |
Non-Final Office Action dated Mar. 29, 2019, issued in connection with U.S. Appl. No. 16/102,650, filed Aug. 13, 2018, 11 pages. |
Non-Final Office Action dated Mar. 29, 2021, issued in connection with U.S. Appl. No. 16/528,265, filed Jul. 31, 2019, 18 pages. |
Non-Final Office Action dated Nov. 29, 2021, issued in connection with U.S. Appl. No. 16/989,350, filed Aug. 10, 2020, 15 pages. |
Non-Final Office Action dated Sep. 29, 2020, issued in connection with U.S. Appl. No. 16/402,617, filed May 3, 2019, 12 pages. |
Non-Final Office Action dated Dec. 3, 2020, issued in connection with U.S. Appl. No. 16/145,275, filed Sep. 28, 2018, 11 pages. |
Non-Final Office Action dated Jul. 3, 2019, issued in connection with U.S. Appl. No. 15/948,541, filed Apr. 9, 2018, 7 pages. |
Non-Final Office Action dated May 3, 2019, issued in connection with U.S. Appl. No. 16/178,122, filed Nov. 1, 2018, 14 pages. |
Non-Final Office Action dated Oct. 3, 2018, issued in connection with U.S. Appl. No. 16/102,153, filed Aug. 13, 2018, 20 pages. |
Non-Final Office Action dated Apr. 30, 2019, issued in connection with U.S. Appl. No. 15/718,521, filed Sep. 28, 2017, 39 pages. |
Non-Final Office Action dated Jun. 30, 2017, issued in connection with U.S. Appl. No. 15/277,810, filed Sep. 27, 2016, 13 pages. |
Non-Final Office Action dated Sep. 30, 2022, issued in connection with U.S. Appl. No. 17/353,254, filed Jun. 21, 2021, 22 pages. |
Non-Final Office Action dated Apr. 4, 2019, issued in connection with U.S. Appl. No. 15/718,911, filed Sep. 28, 2017, 21 pages. |
Non-Final Office Action dated Aug. 4, 2020, issued in connection with U.S. Appl. No. 16/600,644, filed Oct. 14, 2019, 30 pages. |
Non-Final Office Action dated Jan. 4, 2019, issued in connection with U.S. Appl. No. 15/948,541, filed Apr. 9, 2018, 6 pages. |
Non-Final Office Action dated Jan. 4, 2022, issued in connection with U.S. Appl. No. 16/879,549, filed May 20, 2020, 14 pages. |
Non-Final Office Action dated Nov. 4, 2022, issued in connection with U.S. Appl. No. 17/445,272, filed Aug. 17, 2021, 22 pages. |
Non-Final Office Action dated Oct. 4, 2022, issued in connection with U.S. Appl. No. 16/915,234, filed Jun. 29, 2020, 16 pages. |
Non-Final Office Action dated Nov. 5, 2021, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 21 pages. |
Non-Final Office Action dated Apr. 6, 2020, issued in connection with U.S. Appl. No. 16/424,825, filed May 29, 2019, 22 pages. |
Non-Final Office Action dated Feb. 6, 2018, issued in connection with U.S. Appl. No. 15/211,689, filed Jul. 15, 2016, 32 pages. |
Non-Final Office Action dated Feb. 6, 2018, issued in connection with U.S. Appl. No. 15/237,133, filed Aug. 15, 2016, 6 pages. |
Non-Final Office Action dated Jan. 6, 2021, issued in connection with U.S. Appl. No. 16/439,046, filed Jun. 12, 2019, 13 pages. |
Non-Final Office Action dated Mar. 6, 2020, issued in connection with U.S. Appl. No. 16/141,875, filed Sep. 25, 2018, 8 pages. |
Non-Final Office Action dated Sep. 6, 2017, issued in connection with U.S. Appl. No. 15/131,254, filed Apr. 18, 2016, 13 pages. |
Non-Final Office Action dated Sep. 6, 2018, issued in connection with U.S. Appl. No. 15/098,760, filed Apr. 14, 2016, 29 pages. |
Non-Final Office Action dated Dec. 7, 2021, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 36 pages. |
Non-Final Office Action dated Jan. 7, 2022, issued in connection with U.S. Appl. No. 17/135,123, filed Dec. 28, 2020, 16 pages. |
Non-Final Office Action dated Mar. 7, 2022, issued in connection with U.S. Appl. No. 16/812,758, filed Mar. 9, 2020, 18 pages. |
Non-Final Office Action dated Feb. 8, 2022, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 17 pages. |
Non-Final Office Action dated Sep. 8, 2020, issued in connection with U.S. Appl. No. 15/936,177, filed Mar. 26, 2018, 19 pages. |
Non-Final Office Action dated Apr. 9, 2018, issued in connection with U.S. Appl. No. 15/804,776, filed Nov. 6, 2017, 18 pages. |
Non-Final Office Action dated Apr. 9, 2021, issued in connection with U.S. Appl. No. 16/780,483, filed Feb. 3, 2020, 45 pages. |
Non-Final Office Action dated Feb. 9, 2021, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 16 pages. |
Non-Final Office Action dated May 9, 2018, issued in connection with U.S. Appl. No. 15/818,051, filed Nov. 20, 2017, 22 pages. |
Non-Final Office Action dated Sep. 9, 2020, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 29 pages. |
Notice of Allowance dated Aug. 10, 2021, issued in connection with U.S. Appl. No. 17/157,686, filed Jan. 25, 2021, 9 pages. |
Notice of Allowance dated Aug. 2, 2021, issued in connection with U.S. Appl. No. 16/660,197, filed Oct. 22, 2019, 7 pages. |
Notice of Allowance dated Mar. 31, 2021, issued in connection with U.S. Appl. No. 16/813,643, filed Mar. 9, 2020, 11 pages. |
Notice of Allowance dated Aug. 4, 2021, issued in connection with U.S. Appl. No. 16/780,483, filed Feb. 3, 2020, 5 pages. |
Notice of Allowance dated Dec. 2, 2019, issued in connection with U.S. Appl. No. 15/718,521, filed Sep. 28, 2017, 15 pages. |
Notice of Allowance dated Nov. 2, 2022, issued in connection with U.S. Appl. No. 16/989,805, filed Aug. 10, 2020, 5 pages. |
Notice of Allowance dated Nov. 3, 2022, issued in connection with U.S. Appl. No. 17/448,015, filed Sep. 17, 2021, 7 pages. |
Notice of Allowance dated Dec. 4, 2017, issued in connection with U.S. Appl. No. 15/277,810, filed Sep. 27, 2016, 5 pages. |
Notice of Allowance dated Jul. 5, 2018, issued in connection with U.S. Appl. No. 15/237,133, filed Aug. 15, 2016, 5 pages. |
Notice of Allowance dated Jul. 9, 2018, issued in connection with U.S. Appl. No. 15/438,741, filed Feb. 21, 2017, 5 pages. |
Chinese Patent Office, First Office Action and Translation dated Mar. 27, 2019, issued in connection with Chinese Application No. 201780025029.7, 9 pages. |
Chinese Patent Office, First Office Action and Translation dated May 27, 2021, issued in connection with Chinese Application No. 201880026360.5, 15 pages. |
Chinese Patent Office, First Office Action and Translation dated Dec. 28, 2020, issued in connection with Chinese Application No. 201880072203.8, 11 pages. |
Chinese Patent Office, First Office Action and Translation dated Nov. 5, 2019, issued in connection with Chinese Application No. 201780072651.3, 19 pages. |
Chinese Patent Office, First Office Action dated Feb. 28, 2020, issued in connection with Chinese Application No. 201780061543.6, 29 pages. |
Chinese Patent Office, Second Office Action and Translation dated Mar. 3, 2022, issued in connection with Chinese Application No. 201880077216.4, 11 pages. |
Chinese Patent Office, Second Office Action and Translation dated May 11, 2020, issued in connection with Chinese Application No. 201780061543.6, 17 pages. |
Chinese Patent Office, Second Office Action and Translation dated Jul. 18, 2019, issued in connection with Chinese Application No. 201780025029.7, 14 pages. |
Chinese Patent Office, Second Office Action and Translation dated Sep. 23, 2019, issued in connection with Chinese Application No. 201780025028.2, 15 pages. |
Chinese Patent Office, Second Office Action and Translation dated Mar. 31, 2020, issued in connection with Chinese Application No. 201780072651.3, 17 pages. |
Chinese Patent Office, Third Office Action and Translation dated Sep. 16, 2019, issued in connection with Chinese Application No. 201780025029.7, 14 pages. |
Chinese Patent Office, Third Office Action and Translation dated Aug. 5, 2020, issued in connection with Chinese Application No. 201780072651.3, 10 pages. |
Chinese Patent Office, Translation of Office Action dated Jul. 18, 2019, issued in connection with Chinese Application No. 201780025029.7, 8 pages. |
Chung et al. Empirical Evaluation of Gated Recurrent Neural Network on Sequence Modeling. Dec. 11, 2014, 9 pages. |
Cipriani,. The complete list of OK, Google commands—CNET. Jul. 1, 2016, 5 pages. [online], [retrieved on Jan. 15, 2020]. Retrieved from the Internet: (URL:https://web.archive.org/web/20160803230926/https://www.cnet.com/how-to/complete-list-of-ok-google--commands/). |
Co-pending U.S. Application No. 202117236559, inventor Millington; Nicholas A.J., filed on Apr. 21, 2021. |
Corrected Notice of Allowability dated Mar. 8, 2017, issued in connection with U.S. Appl. No. 15/229,855, filed Aug. 5, 2016, 6 pages. |
Couke et al. Efficient Keyword Spotting using Dilated Convolutions and Gating, arXiv:1811.07684v2, Feb. 18, 2019, 5 pages. |
Dell, Inc. “Dell Digital Audio Receiver: Reference Guide,” Jun. 2000, 70 pages. |
Dell, Inc. “Start Here,” Jun. 2000, 2 pages. |
“Denon 2003-2004 Product Catalog,” Denon, 2003-2004, 44 pages. |
European Patent Office, Decision to Refuse European Patent Application dated May 30, 2022, issued in connection with European Application No. 17200837.7, 4 pages. |
European Patent Office, European EPC Article 94.3 dated Mar. 11, 2022, issued in connection with European Application No. 19731415.6, 7 pages. |
European Patent Office, European EPC Article 94.3 dated Nov. 11, 2021, issued in connection with European Application No. 19784172.9, 5 pages. |
European Patent Office, European EPC Article 94.3 dated May 2, 2022, issued in connection with European Application No. 20185599.6, 7 pages. |
European Patent Office, European EPC Article 94.3 dated Jun. 21, 2022, issued in connection with European Application No. 19780508.8, 5 pages. |
European Patent Office, European EPC Article 94.3 dated Feb. 23, 2021, issued in connection with European Application No. 17200837.7, 8 pages. |
European Patent Office, European EPC Article 94.3 dated Feb. 26, 2021, issued in connection with European Application No. 18789515.6, 8 pages. |
European Patent Office, European EPC Article 94.3 dated Nov. 28, 2022, issued in connection with European Application No. 18789515.6, 7 pages. |
European Patent Office, European EPC Article 94.3 dated Mar. 3, 2022, issued in connection with European Application No. 19740292.8, 10 pages. |
European Patent Office, European EPC Article 94.3 dated Jun. 30, 2022, issued in connection with European Application No. 19765953.5, 4 pages. |
European Patent Office, European Extended Search Report dated Oct. 7, 2021, issued in connection with European Application No. 21193616.6, 9 pages. |
European Patent Office, European Extended Search Report dated Oct. 7, 2022, issued in connection with European Application No. 22182193.7, 8 pages. |
European Patent Office, European Extended Search Report dated Apr. 22, 2022, issued in connection with European Application No. 21195031.6, 14 pages. |
European Patent Office, European Extended Search Report dated Jun. 23, 2022, issued in connection with European Application No. 22153180.9, 6 pages. |
European Patent Office, European Extended Search Report dated Nov. 25, 2020, issued in connection with European Application No. 20185599.6, 9 pages. |
European Patent Office, European Extended Search Report dated Feb. 3, 2020, issued in connection with European Application No. 19197116.7, 9 pages. |
European Patent Office, European Extended Search Report dated Jan. 3, 2019, issued in connection with European Application No. 177570702, 8 pages. |
European Patent Office, European Extended Search Report dated Jan. 3, 2019, issued in connection with European Application No. 17757075.1, 9 pages. |
European Patent Office, European Extended Search Report dated Jun. 30, 2022, issued in connection with European Application No. 21212763.3, 9 pages. |
European Patent Office, European Extended Search Report dated Oct. 30, 2017, issued in connection with EP Application No. 17174435.2, 11 pages. |
European Patent Office, European Extended Search Report dated Aug. 6, 2020, issued in connection with European Application No. 20166332.5, 10 pages. |
European Patent Office, European Extended Search Report dated Jul. 8, 2022, issued in connection with European Application No. 22153523.0, 9 pages. |
European Patent Office, European Office Action dated Jul. 1, 2020, issued in connection with European Application No. 17757075.1, 7 pages. |
European Patent Office, European Office Action dated Jan. 14, 2020, issued in connection with European Application No. 17757070.2, 7 pages. |
European Patent Office, European Office Action dated Jan. 21, 2021, issued in connection with European Application No. 17792272.1, 7 pages. |
European Patent Office, European Office Action dated Jan. 22, 2019, issued in connection with European Application No. 17174435.2, 9 pages. |
European Patent Office, European Office Action dated Sep. 23, 2020, issued in connection with European Application No. 18788976.1, 7 pages. |
European Patent Office, European Office Action dated Oct. 26, 2020, issued in connection with European Application No. 18760101.8, 4 pages. |
European Patent Office, European Office Action dated Aug. 30, 2019, issued in connection with European Application No. 17781608.9, 6 pages. |
Final Office Action dated Feb. 5, 2019, issued in connection with U.S. Appl. No. 15/438,749, filed Feb. 21, 2017, 17 pages. |
Final Office Action dated Feb. 7, 2020, issued in connection with U.S. Appl. No. 15/948,541, filed Apr. 9, 2018, 8 pages. |
Final Office Action dated Jun. 7, 2022, issued in connection with U.S. Appl. No. 16/736,725, filed Jan. 7, 2020, 14 pages. |
Final Office Action dated Jun. 8, 2021, issued in connection with U.S. Appl. No. 16/271,550, filed Feb. 8, 2019, 41 pages. |
Final Office Action dated Sep. 8, 2020, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 12 pages. |
Fiorenza Arisio et al. “Deliverable 1.1 User Study, analysis of requirements and definition of the application task,” May 31, 2012, http://dirha.fbk.eu/sites/dirha.fbk.eu/files/docs/DIRHA_D1.1., 31 pages. |
First Action Interview Office Action dated Mar. 8, 2021, issued in connection with U.S. Appl. No. 16/798,967, filed Feb. 24, 2020, 4 pages. |
First Action Interview Office Action dated Aug. 14, 2019, issued in connection with U.S. Appl. No. 16/227,308, filed Dec. 20, 2018, 4 pages. |
First Action Interview Office Action dated Jun. 15, 2020, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 4 pages. |
First Action Interview Office Action dated Jun. 2, 2020, issued in connection with U.S. Appl. No. 16/109,375, filed Aug. 22, 2018, 10 pages. |
First Action Interview Office Action dated Jan. 22, 2020, issued in connection with U.S. Appl. No. 15/989,715, filed May 25, 2018, 3 pages. |
First Action Interview Office Action dated Jul. 5, 2019, issued in connection with U.S. Appl. No. 16/227,308, filed Dec. 20, 2018, 4 pages. |
Freiberger, Karl, “Development and Evaluation of Source Localization Algorithms for Coincident Microphone Arrays,” Diploma Thesis, Apr. 1, 2010, 106 pages. |
Giacobello et al. “A Sparse Nonuniformly Partitioned Multidelay Filter for Acoustic Echo Cancellation,” 2013, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct. 2013, New Paltz, NY, 4 pages. |
Giacobello et al. “Tuning Methodology for Speech Enhancement Algorithms using a Simulated Conversational Database and Perceptual Objective Measures,” 2014, 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays HSCMA, 2014, 5 pages. |
Han et al. “Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.” ICLR 2016, Feb. 15, 2016, 14 pages. |
Hans Speidel: “Chatbot Training: How to use training data to provide fully automated customer support”, Jun. 29, 2017, pp. 1-3, XP055473185, Retrieved from the Internet: URL:https://www.crowdguru.de/wp-content/uploads/Case-Study-Chatbot-training-How-to-use-training-data-to-provide-fully-automated-customer-support.pdf [retrieved on May 7, 2018]. |
Helwani et al.“Source-domain adaptive filtering for MIMO systems with application to acoustic echo cancellation”, Acoustics Speech and Signal Processing, 2010 IEEE International Conference, Mar. 14, 2010, 4 pages. |
Hirano et al. “A Noise-Robust Stochastic Gradient Algorithm with an Adaptive Step-Size Suitable for Mobile Hands-Free Telephones,” 1995, International Conference on Acoustics, Speech, and Signal Processing, vol. 2, 4 pages. |
Indian Patent Office, Examination Report dated May 24, 2021, issued in connection with Indian Patent Application No. 201847035595, 6 pages. |
Indian Patent Office, Examination Report dated Feb. 25, 2021, issued in connection with Indian Patent Application No. 201847035625, 6 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Apr. 1, 2021, issued in connection with International Application No. PCT/US2019/052129, filed on Sep. 20, 2019, 13 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Jul. 1, 2021, issued in connection with International Application No. PCT/US2019/067576, filed on Dec. 19, 2019, 8 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Aug. 10, 2021, issued in connection with International Application No. PCT/US2020/017150, filed on Feb. 7, 2020, 20 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Dec. 10, 2020, issued in connection with International Application No. PCT/US2019/033945, filed on May 25, 2018, 7 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Mar. 10, 2020, issued in connection with International Application No. PCT/US2018/050050, filed on Sep. 7, 2018, 7 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Apr. 15, 2021, issued in connection with International Application No. PCT/US2019/054332, filed on Oct. 2, 2019, 9 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Jan. 15, 2019, issued in connection with International Application No. PCT/US2017/042170, filed on Jul. 14, 2017, 7 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Jan. 15, 2019, issued in connection with International Application No. PCT/US2017/042227, filed on Jul. 14, 2017, 7 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Mar. 25, 2021, issued in connection with International Application No. PCT/US2019/050852, filed on Sep. 12, 2019, 8 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Aug. 27, 2019, issued in connection with International Application No. PCT/US2018/019010, filed on Feb. 21, 2018, 9 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Mar. 31, 2020, issued in connection with International Application No. PCT/US2018/053517, filed on Sep. 28, 2018, 10 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Feb. 5, 2019, issued in connection with International Application No. PCT/US2017/045521, filed on Aug. 4, 2017, 7 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Feb. 5, 2019, issued in connection with International Application No. PCT/US2017/045551, filed on Aug. 4, 2017, 9 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Jan. 7, 2021, issued in connection with International Application No. PCT/US2019/039828, filed on Jun. 28, 2019, 11 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Apr. 8, 2021, issued in connection with International Application No. PCT/US2019/052654, filed on Sep. 24, 2019, 7 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Apr. 8, 2021, issued in connection with International Application No. PCT/US2019/052841, filed on Sep. 25, 2019, 8 pages. |
International Bureau, International Preliminary Report on Patentability and Written Opinion, dated Apr. 8, 2021, issued in connection with International Application No. PCT/US2019/053253, filed on Sep. 26, 2019, 10 pages. |
International Bureau, International Preliminary Report on Patentability, dated Apr. 11, 2019, issued in connection with International Application No. PCT/US2017/0054063, filed on Sep. 28, 2017, 9 pages. |
International Bureau, International Preliminary Report on Patentability, dated Jun. 17, 2021, issued in connection with International Application No. PCT/US2019/064907, filed on Dec. 6, 2019, 8 pages. |
International Bureau, International Preliminary Report on Patentability, dated Mar. 2, 2021, issued in connection with International Application No. PCT/US2019/048558, filed on Aug. 28, 2019, 8 pages. |
International Bureau, International Preliminary Report on Patentability, dated Feb. 20, 2020, issued in connection with International Application No. PCT/US2018/045397, filed on Aug. 6, 2018, 8 pages. |
International Bureau, International Preliminary Report on Patentability, dated Jul. 21, 2022, issued in connection with International Application No. PCT/US2021/070007, filed on Jan. 6, 2021, 8 pages. |
International Bureau, International Preliminary Report on Patentability, dated Apr. 23, 2019, issued in connection with International Application No. PCT/US2017/057220, filed on Oct. 18, 2017, 7 pages. |
International Bureau, International Preliminary Report on Patentability, dated Apr. 26, 2022, issued in connection with International Application No. PCT/US2020/056632, filed on Oct. 21, 2020, 7 pages. |
International Bureau, International Preliminary Report on Patentability, dated Mar. 31, 2020, issued in connection with International Application No. PCT/US2018053123, filed on Sep. 27, 2018, 12 pages. |
International Bureau, International Preliminary Report on Patentability, dated Mar. 31, 2020, issued in connection with International Application No. PCT/US2018053472, filed on Sep. 28, 2018, 8 pages. |
International Bureau, International Preliminary Report on Patentability, dated Mar. 31, 2020, issued in connection with International Application No. PCT/US2018053517, filed on Sep. 28, 2018, 10 pages. |
International Bureau, International Preliminary Report on Patentability, dated Sep. 7, 2018, issued in connection with International Application No. PCT/US2017/018728, filed on Feb. 21, 2017, 8 pages. |
International Bureau, International Preliminary Report on Patentability, dated Sep. 7, 2018, issued in connection with International Application No. PCT/US2017/018739, filed on Feb. 21, 2017, 7 pages. |
Chinese Patent Office, First Office Action and Translation dated Feb. 9, 2023, issued in connection with Chinese Application No. 201880076788.0, 13 pages. |
Chinese Patent Office, First Office Action and Translation dated Jan. 19, 2023, issued in connection with Chinese Application No. 201880064916.X, 10 pages. |
Chinese Patent Office, First Office Action and Translation dated Feb. 27, 2023, issued in connection with Chinese Application No. 201980003798.6, 12 pages. |
Chinese Patent Office, First Office Action and Translation dated Dec. 30, 2022, issued in connection with Chinese Application No. 201880076775.3, 10 pages. |
Chinese Patent Office, Second Office Action and Translation dated Apr. 1, 2023, issued in connection with Chinese Application No. 201980056604.9, 11 pages. |
Chinese Patent Office, Second Office Action dated Dec. 21, 2022, issued in connection with Chinese Application No. 201980089721.5, 12 pages. |
European Patent Office, European EPC Article 94.3 dated Feb. 10, 2023, issued in connection with European Application No. 19729968.8, 7 pages. |
European Patent Office, European EPC Article 94.3 dated Feb. 23, 2023, issued in connection with European Application No. 19839734.1, 8 pages. |
Final Office Action dated Mar. 29, 2023, issued in connection with U.S. Appl. No. 17/549,034, filed Dec. 13, 2021, 21 pages. |
Helwani et al. Source-domain adaptive filtering for MIMO systems with application to acoustic echo cancellation. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Jun. 28, 2010, 4 pages. [retrieved on Feb. 23, 2023], Retrieved from the Internet: URL: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C14&q=SOURCE-DOMAIN+ADAPTIVE+FILTERING+FOR+MIMO+SYSTEMS+WITH+APPLICATION+TO+ACOUSTIC+ECHO+CANCELLATION&btnG=. |
Japanese Patent Office, Non-Final Office Action dated Apr. 4, 2023, issued in connection with Japanese Patent Application No. 2021-573944, 5 pages. |
Katsamanis et al. Robust far-field spoken command recognition for home automation combining adaptation and multichannel processing. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing—Proceedings, May 2014, pp. 5547-5551. |
Korean Patent Office, Korean Examination Report and Translation dated Mar. 31, 2023, issued in connection with Korean Application No. 10-2022-7016656, 7 pages. |
Korean Patent Office, Office Action and Translation dated Feb. 27, 2023, issued in connection with Korean Application No. 10-2022-7021879, 5 pages. |
Mathias Wolfel. Channel Selection by Class Separability Measures for Automatic Transcriptions on Distant Microphones, Interspeech 2007 10.21437/Interspeech.2007-255, 4 pages. |
Non-Final Office Action dated Feb. 2, 2023, issued in connection with U.S. Appl. No. 17/305,698, filed Jul. 13, 2021, 16 pages. |
Non-Final Office Action dated Apr. 12, 2023, issued in connection with U.S. Appl. No. 17/878,649, filed Aug. 1, 2022, 16 pages. |
Non-Final Office Action dated Dec. 15, 2022, issued in connection with U.S. Appl. No. 17/549,253, filed Dec. 13, 2021, 10 pages. |
Non-Final Office Action dated Feb. 15, 2023, issued in connection with U.S. Appl. No. 17/453,632, filed Nov. 4, 2021, 12 pages. |
Non-Final Office Action dated Feb. 16, 2023, issued in connection with U.S. Appl. No. 17/305,920, filed Jul. 16, 2021, 12 pages. |
Non-Final Office Action dated Dec. 22, 2022, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 39 pages. |
Non-Final Office Action dated Feb. 27, 2023, issued in connection with U.S. Appl. No. 17/493,430, filed Oct. 4, 2021, 17 pages. |
Non-Final Office Action dated Feb. 28, 2023, issued in connection with U.S. Appl. No. 17/548,921, filed Dec. 13, 2021, 12 pages. |
Non-Final Office Action dated Apr. 5, 2023, issued in connection with U.S. Appl. No. 18/145,501, filed Dec. 22, 2022, 6 pages. |
Non-Final Office Action dated Feb. 7, 2023, issued in connection with U.S. Appl. No. 17/303,001, filed May 18, 2021, 8 pages. |
Notice of Allowance dated Feb. 6, 2023, issued in connection with U.S. Appl. No. 17/077,974, filed Oct. 22, 2020, 7 pages. |
Notice of Allowance dated Jan. 6, 2023, issued in connection with U.S. Appl. No. 17/896,129, filed Aug. 26, 2022, 13 pages. |
Notice of Allowance dated Dec. 7, 2022, issued in connection with U.S. Appl. No. 17/315,599, filed May 10, 2021, 11 pages. |
Notice of Allowance dated Feb. 8, 2023, issued in connection with U.S. Appl. No. 17/446,690, filed Sep. 1, 2021, 8 pages. |
Notice of Allowance dated Jan. 9, 2023, issued in connection with U.S. Appl. No. 17/247,507, filed Dec. 14, 2020, 8 pages. |
Notice of Allowance dated Mar. 9, 2023, issued in connection with U.S. Appl. No. 17/662,302, filed May 6, 2022, 7 pages. |
Notice of Allowance dated Feb. 13, 2023, issued in connection with U.S. Appl. No. 18/045,360, filed Oct. 10, 2022, 9 pages. |
Notice of Allowance dated Feb. 15, 2023, issued in connection with U.S. Appl. No. 17/659,613, filed Apr. 18, 2022, 21 pages. |
Notice of Allowance dated Dec. 20, 2022, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 5 pages. |
Notice of Allowance dated Jan. 20, 2023, issued in connection with U.S. Appl. No. 16/915,234, filed Jun. 29, 2020, 6 pages. |
Notice of Allowance dated Mar. 20, 2023, issued in connection with U.S. Appl. No. 17/562,412, filed Dec. 27, 2021, 9 pages. |
Notice of Allowance dated Mar. 21, 2023, issued in connection with U.S. Appl. No. 17/353,254, filed Jun. 21, 2021, 8 pages. |
Notice of Allowance dated Feb. 23, 2023, issued in connection with U.S. Appl. No. 17/532,674, filed Nov. 22, 2021, 10 pages. |
Notice of Allowance dated Dec. 29, 2022, issued in connection with U.S. Appl. No. 17/327,911, filed May 24, 2021, 14 pages. |
Notice of Allowance dated Mar. 29, 2023, issued in connection with U.S. Appl. No. 17/722,438, filed Apr. 18, 2022, 7 pages. |
Notice of Allowance dated Mar. 30, 2023, issued in connection with U.S. Appl. No. 17/303,066, filed May 19, 2021, 7 pages. |
Notice of Allowance dated Mar. 31, 2023, issued in connection with U.S. Appl. No. 17/303,735, filed Jun. 7, 2021, 19 pages. |
Notice of Allowance dated Apr. 5, 2023, issued in connection with U.S. Appl. No. 17/549,253, filed Dec. 13, 2021, 10 pages. |
Notice of Allowance dated Mar. 6, 2023, issued in connection with U.S. Appl. No. 17/449,926, filed Oct. 4, 2021, 8 pages. |
Simon Doclo et al. Combined Acoustic Echo and Noise Reduction Using GSVD-Based Optimal Filtering. In 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No. 00CH37100), Aug. 6, 2002, 4 pages. [retrieved on Feb. 23, 2023], Retrieved from the Internet: URL: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C14&q=COMBINED+ACOUSTIC+ECHO+AND+NOISE+REDUCTION+USING+GSVD-BASED+OPTIMAL+FILTERING&btnG=. |
Wolf et al. On the potential of channel selection for recognition of reverberated speech with multiple microphones. Interspeech, TALP Research Center, Jan. 2010, 5 pages. |
Wölfel et al. Multi-source far-distance microphone selection and combination for automatic transcription of lectures, Interspeech 2006—ICSLP, Jan. 2006, 5 pages. |
Zhang et al. Noise Robust Speech Recognition Using Multi-Channel Based Channel Selection And Channel Weighting. The Institute of Electronics, Information and Communication Engineers, arXiv:1604.03276v1 [cs.SD] Jan. 1, 2010, 8 pages. |
European Patent Office, European Office Action dated Sep. 9, 2020, issued in connection with European Application No. 18792656.3, 10 pages. |
European Patent Office, European Search Report dated Mar. 1, 2022, issued in connection with European Application No. 21180778.9, 9 pages. |
European Patent Office, European Search Report dated Oct. 4, 2022, issued in connection with European Application No. 22180226.7, 6 pages. |
European Patent Office, Examination Report dated Jul. 15, 2021, issued in connection with European Patent Application No. 19729968.8, 7 pages. |
European Patent Office, Extended Search Report dated Aug. 13, 2021, issued in connection with European Patent Application No. 21164130.3, 11 pages. |
European Patent Office, Extended Search Report dated May 16, 2018, issued in connection with European Patent Application No. 17200837.7, 11 pages. |
European Patent Office, Extended Search Report dated Jul. 25, 2019, issued in connection with European Patent Application No. 18306501.0, 14 pages. |
European Patent Office, Extended Search Report dated May 29, 2020, issued in connection with European Patent Application No. 19209389.6, 8 pages. |
European Patent Office, Summons to Attend Oral Proceedings mailed on Jul. 15, 2022, issued in connection with European Application No. 17792272.1, 11 pages. |
European Patent Office, Summons to Attend Oral Proceedings mailed on Dec. 20, 2019, issued in connection with European Application No. 17174435.2, 13 pages. |
European Patent Office, Summons to Attend Oral Proceedings mailed on Feb. 4, 2022, issued in connection with European Application No. 17757075.1, 10 pages. |
European Patent Office, Summons to Attend Oral Proceedings mailed on Dec. 9, 2021, issued in connection with European Application No. 17200837.7, 10 pages. |
Fadilpasic,“Cortana can now be the default PDA on your Android”, IT Pro Portal: Accessed via WayBack Machine; http://web.archive.org/web/20171129124915/https://www.itproportal.com/2015/08/11/cortana-can-now-be-. . . , Aug. 11, 2015, 6 pages. |
Final Office Action dated Jul. 23, 2021, issued in connection with U.S. Appl. No. 16/439,046, filed Jun. 12, 2019, 12 pages. |
Final Office Action dated Oct. 6, 2017, issued in connection with U.S. Appl. No. 15/098,760, filed Apr. 14, 2016, 25 pages. |
Final Office Action dated Jun. 1, 2022, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 20 pages. |
Final Office Action dated Feb. 10, 2021, issued in connection with U.S. Appl. No. 16/219,702, filed Dec. 13, 2018, 9 pages. |
Final Office Action dated Feb. 10, 2021, issued in connection with U.S. Appl. No. 16/402,617, filed May 3, 2019, 13 pages. |
Final Office Action dated Nov. 10, 2020, issued in connection with U.S. Appl. No. 16/600,644, filed Oct. 14, 2019, 19 pages. |
Final Office Action dated Apr. 11, 2019, issued in connection with U.S. Appl. No. 15/131,254, filed Apr. 18, 2016, 17 pages. |
Final Office Action dated Aug. 11, 2017, issued in connection with U.S. Appl. No. 15/131,776, filed Apr. 18, 2016, 7 pages. |
Final Office Action dated Dec. 11, 2019, issued in connection with U.S. Appl. No. 16/227,308, filed Dec. 20, 2018, 10 pages. |
Final Office Action dated Sep. 11, 2019, issued in connection with U.S. Appl. No. 16/178,122, filed Nov. 1, 2018, 13 pages. |
Final Office Action dated Apr. 13, 2018, issued in connection with U.S. Appl. No. 15/131,254, filed Apr. 18, 2016, 18 pages. |
Final Office Action dated Apr. 13, 2018, issued in connection with U.S. Appl. No. 15/438,744, filed Feb. 21, 2017, 20 pages. |
Final Office Action dated May 13, 2020, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 20 pages. |
Final Office Action dated Jul. 15, 2021, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 22 pages. |
Final Office Action dated Jun. 15, 2017, issued in connection with U.S. Appl. No. 15/098,718, filed Apr. 14, 2016, 15 pages. |
Final Office Action dated Jun. 15, 2021, issued in connection with U.S. Appl. No. 16/819,755, filed Mar. 16, 2020, 12 pages. |
Final Office Action dated Oct. 15, 2018, issued in connection with U.S. Appl. No. 15/804,776, filed Nov. 6, 2017, 18 pages. |
Final Office Action dated Oct. 15, 2020, issued in connection with U.S. Appl. No. 16/109,375, filed Aug. 22, 2018, 9 pages. |
Final Office Action dated Oct. 16, 2018, issued in connection with U.S. Appl. No. 15/438,725, filed Feb. 21, 2017, 10 pages. |
Final Office Action dated Aug. 17, 2022, issued in connection with U.S. Appl. No. 16/179,779, filed Nov. 2, 2018, 26 pages. |
Final Office Action dated Dec. 17, 2021, issued in connection with U.S. Appl. No. 16/813,643, filed Mar. 9, 2020, 12 pages. |
Final Office Action dated May 18, 2020, issued in connection with U.S. Appl. No. 16/177,185, filed Oct. 31, 2018, 16 pages. |
Final Office Action dated Feb. 21, 2018, issued in connection with U.S. Appl. No. 15/297,627, filed Oct. 19, 2016, 12 pages. |
Final Office Action dated Mar. 21, 2022, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 23 pages. |
Final Office Action dated May 21, 2020, issued in connection with U.S. Appl. No. 15/989,715, filed May 25, 2018, 21 pages. |
Final Office Action dated Aug. 22, 2022, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 37 pages. |
Final Office Action dated Feb. 22, 2021, issued in connection with U.S. Appl. No. 15/936,177, filed Mar. 26, 2018, 20 pages. |
Final Office Action dated Feb. 22, 2021, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 12 pages. |
Final Office Action dated Jun. 22, 2020, issued in connection with U.S. Appl. No. 16/179,779, filed Nov. 2, 2018, 16 pages. |
Final Office Action dated Mar. 23, 2020, issued in connection with U.S. Appl. No. 16/145,275, filed Sep. 28, 2018, 11 pages. |
Final Office Action dated Feb. 24, 2020, issued in connection with U.S. Appl. No. 15/936,177, filed Mar. 26, 2018, 20 pages. |
Final Office Action dated Apr. 26, 2019, issued in connection with U.S. Appl. No. 15/721,141, filed Sep. 29, 2017, 20 pages. |
Final Office Action dated Jul. 27, 2022, issued in connection with U.S. Appl. No. 16/989,350, filed Aug. 10, 2020, 15 pages. |
Final Office Action dated Nov. 29, 2021, issued in connection with U.S. Appl. No. 17/236,559, filed Apr. 21, 2021, 11 pages. |
Final Office Action dated Apr. 30, 2019, issued in connection with U.S. Appl. No. 15/098,760, filed Apr. 14, 2016, 6 pages. |
Final Office Action dated Jun. 4, 2021, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 38 pages. |
Final Office Action dated Oct. 4, 2021, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 17 pages. |
Advisory Action dated Nov. 7, 2022, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 4 pages. |
Advisory Action dated Jun. 10, 2020, issued in connection with U.S. Appl. No. 15/936,177, filed Mar. 26, 2018, 4 pages. |
Advisory Action dated Aug. 13, 2021, issued in connection with U.S. Appl. No. 16/271,550, filed Feb. 8, 2019, 4 pages. |
Advisory Action dated Apr. 23, 2021, issued in connection with U.S. Appl. No. 16/219,702, filed Dec. 13, 2018, 3 pages. |
Advisory Action dated Apr. 24, 2020, issued in connection with U.S. Appl. No. 15/948,541, filed Apr. 9, 2018, 4 pages. |
Advisory Action dated Feb. 28, 2022, issued in connection with U.S. Appl. No. 16/813,643, filed Mar. 9, 2020, 3 pages. |
Advisory Action dated Jun. 28, 2018, issued in connection with U.S. Appl. No. 15/438,744, filed Feb. 21, 2017, 3 pages. |
Advisory Action dated Dec. 31, 2018, issued in connection with U.S. Appl. No. 15/804,776, filed Nov. 6, 2017, 4 pages. |
Advisory Action dated Sep. 8, 2021, issued in connection with U.S. Appl. No. 16/168,389, filed Oct. 23, 2018, 4 pages. |
Advisory Action dated Jun. 9, 2020, issued in connection with U.S. Appl. No. 16/145,275, filed Sep. 28, 2018, 3 pages. |
Andra et al. Contextual Keyword Spotting in Lecture Video With Deep Convolutional Neural Network. 2017 International Conference on Advanced Computer Science and Information Systems, IEEE, Oct. 28, 2017, 6 pages. |
Anonymous,. S Voice or Google Now—The Lowdown. Apr. 28, 2015, 9 pages. [online], [retrieved on Nov. 29, 2017]. Retrieved from the Internet (URL:http://web.archive.org/web/20160807040123/http://lowdown.carphonewarehouse.com/news/s-voice-or-google-now/29958/). |
Anonymous: “What are the function of 4 Microphones on iPhone 6S/6S+?”, ETrade Supply, Dec. 24, 2015, XP055646381, Retrieved from the Internet: URL:https://www.etradesupply.com/blog/4-microphones-iphone-6s6s-for/ [retrieved on Nov. 26, 2019]. |
Audhkhasi Kartik et al. End-to-end ASR-free keyword search from speech. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, Mar. 5, 2017, 7 pages. |
Audio Tron Quick Start Guide, Version 1.0, Mar. 2001, 24 pages. |
AudioTron Reference Manual, Version 3.0, May 2002, 70 pages. |
AudioTron Setup Guide, Version 3.0, May 2002, 38 pages. |
Australian Patent Office, Australian Examination Report Action dated Nov. 10, 2022, issued in connection with Australian Application No. 2018312989, 2 pages. |
Australian Patent Office, Australian Examination Report Action dated Apr. 14, 2020, issued in connection with Australian Application No. 2019202257, 3 pages. |
Australian Patent Office, Australian Examination Report Action dated May 19, 2022, issued in connection with Australian Application No. 2021212112, 2 pages. |
Australian Patent Office, Australian Examination Report Action dated Sep. 28, 2022, issued in connection with Australian Application No. 2018338812, 3 pages. |
Australian Patent Office, Australian Examination Report Action dated Oct. 3, 2019, issued in connection with Australian Application No. 2018230932, 3 pages. |
Australian Patent Office, Australian Examination Report Action dated Mar. 4, 2022, issued in connection with Australian Application No. 2021202786, 2 pages. |
Australian Patent Office, Australian Examination Report Action dated Apr. 7, 2021, issued in connection with Australian Application No. 2019333058, 2 pages. |
Australian Patent Office, Australian Examination Report Action dated Aug. 7, 2020, issued in connection with Australian Application No. 2019236722, 4 pages. |
Australian Patent Office, Examination Report dated Jun. 28, 2021, issued in connection with Australian Patent Application No. 2019395022, 2 pages. |
Australian Patent Office, Examination Report dated Oct. 30, 2018, issued in connection with Australian Application No. 2017222436, 3 pages. |
“Automatic Parameter Tying in Neural Networks” ICLR 2018, 14 pages. |
Bertrand et al. “Adaptive Distributed Noise Reduction for Speech Enhancement in Wireless Acoustic Sensor Networks” Jan. 2010, 4 pages. |
Bluetooth. “Specification of the Bluetooth System: The ad hoc SCATTERNET for affordable and highly functional wireless connectivity,” Core, Version 1.0 A, Jul. 26, 1999, 1068 pages. |
Bluetooth. “Specification of the Bluetooth System: Wireless connections made easy,” Core, Version 1.0 B, Dec. 1, 1999, 1076 pages. |
Canadian Patent Office, Canadian Examination Report dated Dec. 1, 2021, issued in connection with Canadian Application No. 3096442, 4 pages. |
Canadian Patent Office, Canadian Examination Report dated Sep. 14, 2022, issued in connection with Canadian Application No. 3067776, 4 pages. |
Canadian Patent Office, Canadian Examination Report dated Oct. 19, 2022, issued in connection with Canadian Application No. 3123601, 5 pages. |
Canadian Patent Office, Canadian Examination Report dated Nov. 2, 2021, issued in connection with Canadian Application No. 3067776, 4 pages. |
Canadian Patent Office, Canadian Examination Report dated Oct. 26, 2021, issued in connection with Canadian Application No. 3072492, 3 pages. |
Canadian Patent Office, Canadian Examination Report dated Mar. 29, 2022, issued in connection with Canadian Application No. 3111322, 3 pages. |
Canadian Patent Office, Canadian Examination Report dated Jun. 7, 2022, issued in connection with Canadian Application No. 3105494, 5 pages. |
Canadian Patent Office, Canadian Examination Report dated Mar. 9, 2021, issued in connection with Canadian Application No. 3067776, 5 pages. |
Canadian Patent Office, Canadian Office Action dated Nov. 14, 2018, issued in connection with Canadian Application No. 3015491, 3 pages. |
Chinese Patent Office, Chinese Office Action and Translation dated Jul. 2, 2021, issued in connection with Chinese Application No. 201880077216.4, 22 pages. |
Chinese Patent Office, Chinese Office Action and Translation dated Mar. 30, 2021, issued in connection with Chinese Application No. 202010302650.7, 15 pages. |
Chinese Patent Office, First Office Action and Translation dated Jun. 1, 2021, issued in connection with Chinese Application No. 201980089721.5, 21 pages. |
Chinese Patent Office, First Office Action and Translation dated Oct. 9, 2022, issued in connection with Chinese Application No. 201780056695.7, 10 pages. |
Chinese Patent Office, First Office Action and Translation dated Dec. 1, 2021, issued in connection with Chinese Application No. 201780077204.7, 11 pages. |
Chinese Patent Office, First Office Action and Translation dated Nov. 10, 2022, issued in connection with Chinese Application No. 201980070006.7, 15 pages. |
Chinese Patent Office, First Office Action and Translation dated Sep. 19, 2022, issued in connection with Chinese Application No. 201980056604.9, 13 pages. |
Chinese Patent Office, First Office Action and Translation dated Dec. 20, 2021, issued in connection with Chinese Application No. 202010302650.7, 10 pages. |
Chinese Patent Office, First Office Action and Translation dated Mar. 20, 2019, issued in connection with Chinese Application No. 201780025028.2, 18 pages. |
Chinese Patent Office, First Office Action and Translation dated Nov. 25, 2022, issued in connection with Chinese Application No. 201780056321.5, 8 pages. |
Non-Final Office Action dated Apr. 23, 2021, issued in connection with U.S. Appl. No. 16/660,197, filed Oct. 22, 2019, 9 pages. |
Non-Final Office Action dated Jun. 25, 2021, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 11 pages. |
Non-Final Office Action dated Jul. 8, 2021, issued in connection with U.S. Appl. No. 16/813,643, filed Mar. 9, 2020, 12 pages. |
Non-Final Office Action dated Dec. 9, 2020, issued in connection with U.S. Appl. No. 16/271,550, filed Feb. 8, 2019, 35 pages. |
Non-Final Office Action dated Jul. 9, 2021, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 18 pages. |
Non-Final Office Action dated Jun. 1, 2017, issued in connection with U.S. Appl. No. 15/223,218, filed Jul. 29, 2016, 7 pages. |
Non-Final Office Action dated Nov. 2, 2017, issued in connection with U.S. Appl. No. 15/584,782, filed May 2, 2017, 11 pages. |
Non-Final Office Action dated Nov. 3, 2017, issued in connection with U.S. Appl. No. 15/438,741, filed Feb. 21, 2017, 11 pages. |
Non-Final Office Action dated Nov. 4, 2019, issued in connection with U.S. Appl. No. 16/022,662, filed Jun. 28, 2018, 16 pages. |
Non-Final Office Action dated Dec. 5, 2022, issued in connection with U.S. Appl. No. 17/662,302, filed May 6, 2022, 12 pages. |
Non-Final Office Action dated Oct. 5, 2022, issued in connection with U.S. Appl. No. 17/449,926, filed Oct. 4, 2021, 11 pages. |
Non-Final Office Action dated Sep. 5, 2019, issued in connection with U.S. Appl. No. 16/416,752, filed May 20, 2019, 14 pages. |
Non-Final Office Action dated Feb. 7, 2017, issued in connection with U.S. Appl. No. 15/131,244, filed Apr. 18, 2016, 12 pages. |
Non-Final Office Action dated Feb. 8, 2017, issued in connection with U.S. Appl. No. 15/098,892, filed Apr. 14, 2016, 17 pages. |
Non-Final Office Action dated Mar. 9, 2017, issued in connection with U.S. Appl. No. 15/098,760, filed Apr. 14, 2016, 13 pages. |
Non-Final Office Action dated Oct. 9, 2019, issued in connection with U.S. Appl. No. 15/936,177, filed Mar. 26, 2018, 16 pages. |
Non-Final Office Action dated Jul. 1, 2020, issued in connection with U.S. Appl. No. 16/138,111, filed Sep. 21, 2018, 14 pages. |
Non-Final Office Action dated Jan. 10, 2018, issued in connection with U.S. Appl. No. 15/098,718, filed Apr. 14, 2016, 15 pages. |
Non-Final Office Action dated Jan. 10, 2018, issued in connection with U.S. Appl. No. 15/229,868, filed Aug. 5, 2016, 13 pages. |
Non-Final Office Action dated Jan. 10, 2018, issued in connection with U.S. Appl. No. 15/438,725, filed Feb. 21, 2017, 15 pages. |
Non-Final Office Action dated Sep. 10, 2018, issued in connection with U.S. Appl. No. 15/670,361, filed Aug. 7, 2017, 17 pages. |
Non-Final Office Action dated Aug. 11, 2021, issued in connection with U.S. Appl. No. 16/841,116, filed Apr. 6, 2020, 9 pages. |
Non-Final Office Action dated Feb. 11, 2021, issued in connection with U.S. Appl. No. 16/876,493, filed May 18, 2020, 16 pages. |
Non-Final Office Action dated Feb. 11, 2022, issued in connection with U.S. Appl. No. 17/145,667, filed Jan. 11, 2021, 9 pages. |
Non-Final Office Action dated Mar. 11, 2021, issued in connection with U.S. Appl. No. 16/834,483, filed Mar. 30, 2020, 11 pages. |
Non-Final Office Action dated Oct. 11, 2019, issued in connection with U.S. Appl. No. 16/177,185, filed Oct. 31, 2018, 14 pages. |
Non-Final Office Action dated Sep. 11, 2020, issued in connection with U.S. Appl. No. 15/989,715, filed May 25, 2018, 8 pages. |
Non-Final Office Action dated Sep. 11, 2020, issued in connection with U.S. Appl. No. 16/219,702, filed Dec. 13, 2018, 9 pages. |
Non-Final Office Action dated Apr. 12, 2021, issued in connection with U.S. Appl. No. 16/528,224, filed Jul. 31, 2019, 9 pages. |
Non-Final Office Action dated Dec. 12, 2016, issued in connection with U.S. Appl. No. 15/098,718, filed Apr. 14, 2016, 11 pages. |
Non-Final Office Action dated Feb. 12, 2019, issued in connection with U.S. Appl. No. 15/670,361, filed Aug. 7, 2017, 13 pages. |
Non-Final Office Action dated Jan. 13, 2017, issued in connection with U.S. Appl. No. 15/098,805, filed Apr. 14, 2016, 11 pages. |
Non-Final Office Action dated Nov. 13, 2018, issued in connection with U.S. Appl. No. 15/717,621, filed Sep. 27, 2017, 23 pages. |
Non-Final Office Action dated Nov. 13, 2018, issued in connection with U.S. Appl. No. 16/160,107, filed Oct. 15, 2018, 8 pages. |
Non-Final Office Action dated Nov. 13, 2019, issued in connection with U.S. Appl. No. 15/984,073, filed May 18, 2018, 18 pages. |
Non-Final Office Action dated Oct. 13, 2021, issued in connection with U.S. Appl. No. 16/679,538, filed Nov. 11, 2019, 8 pages. |
Non-Final Office Action dated May 14, 2020, issued in connection with U.S. Appl. No. 15/948,541, filed Apr. 9, 2018, 8 pages. |
Non-Final Office Action dated Nov. 14, 2022, issued in connection with U.S. Appl. No. 17/077,974, filed Oct. 22, 2020, 6 pages. |
Non-Final Office Action dated Sep. 14, 2017, issued in connection with U.S. Appl. No. 15/178,180, filed Jun. 9, 2016, 16 pages. |
Non-Final Office Action dated Sep. 14, 2018, issued in connection with U.S. Appl. No. 15/959,907, filed Apr. 23, 2018, 15 pages. |
Non-Final Office Action dated Sep. 14, 2022, issued in connection with U.S. Appl. No. 17/446,690, filed Sep. 1, 2021, 10 pages. |
Non-Final Office Action dated Apr. 15, 2020, issued in connection with U.S. Appl. No. 16/138,111, filed Sep. 21, 2018, 15 pages. |
Non-Final Office Action dated Aug. 15, 2022, issued in connection with U.S. Appl. No. 17/448,015, filed Sep. 17, 2021, 12 pages. |
Non-Final Office Action dated Dec. 15, 2020, issued in connection with U.S. Appl. No. 17/087,423, filed Nov. 2, 2020, 7 pages. |
Non-Final Office Action dated Jan. 15, 2019, issued in connection with U.S. Appl. No. 16/173,797, filed Oct. 29, 2018, 6 pages. |
Non-Final Office Action dated Nov. 15, 2019, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 17 pages. |
Non-Final Office Action dated Sep. 15, 2022, issued in connection with U.S. Appl. No. 17/247,507, filed Dec. 14, 2020, 9 pages. |
Non-Final Office Action dated Sep. 15, 2022, issued in connection with U.S. Appl. No. 17/327,911, filed May 24, 2021, 44 pages. |
Non-Final Office Action dated Mar. 16, 2018, issued in connection with U.S. Appl. No. 15/681,937, filed Aug. 21, 2017, 5 pages. |
Non-Final Office Action dated Oct. 16, 2018, issued in connection with U.S. Appl. No. 15/131,254, filed Apr. 18, 2016, 16 pages. |
Notice of Allowance dated Apr. 27, 2020, issued in connection with U.S. Appl. No. 16/700,607, filed Dec. 2, 2019, 10 pages. |
Notice of Allowance dated Jun. 27, 2022, issued in connection with U.S. Appl. No. 16/812,758, filed Mar. 9, 2020, 16 pages. |
Notice of Allowance dated Mar. 27, 2019, issued in connection with U.S. Appl. No. 16/214,666, filed Dec. 10, 2018, 6 pages. |
Notice of Allowance dated Mar. 28, 2018, issued in connection with U.S. Appl. No. 15/699,982, filed Sep. 8, 2017, 17 pages. |
Notice of Allowance dated May 28, 2021, issued in connection with U.S. Appl. No. 16/524,306, filed Jul. 29, 2019, 9 pages. |
Notice of Allowance dated Sep. 28, 2022, issued in connection with U.S. Appl. No. 17/444,043, filed Jul. 29, 2021, 17 pages. |
Notice of Allowance dated Dec. 29, 2017, issued in connection with U.S. Appl. No. 15/131,776, filed Apr. 18, 2016, 13 pages. |
Notice of Allowance dated Jan. 29, 2021, issued in connection with U.S. Appl. No. 16/290,599, filed Mar. 1, 2019, 9 pages. |
Notice of Allowance dated Jul. 29, 2022, issued in connection with U.S. Appl. No. 17/236,559, filed Apr. 21, 2021, 6 pages. |
Notice of Allowance dated Jun. 29, 2020, issued in connection with U.S. Appl. No. 16/216,357, filed Dec. 11, 2018, 8 pages. |
Notice of Allowance dated Mar. 29, 2021, issued in connection with U.S. Appl. No. 16/600,949, filed Oct. 14, 2019, 9 pages. |
Notice of Allowance dated May 29, 2020, issued in connection with U.S. Appl. No. 16/148,879, filed Oct. 1, 2018, 6 pages. |
Notice of Allowance dated Sep. 29, 2021, issued in connection with U.S. Appl. No. 16/876,493, filed May 18, 2020, 5 pages. |
Notice of Allowance dated Apr. 3, 2019, issued in connection with U.S. Appl. No. 16/160,107, filed Oct. 15, 2018, 7 pages. |
Notice of Allowance dated Jun. 3, 2021, issued in connection with U.S. Appl. No. 16/876,493, filed May 18, 2020, 7 pages. |
Notice of Allowance dated Mar. 3, 2022, issued in connection with U.S. Appl. No. 16/679,538, filed Nov. 11, 2019, 7 pages. |
Notice of Allowance dated Jul. 30, 2018, issued in connection with U.S. Appl. No. 15/098,718, filed Apr. 14, 2016, 5 pages. |
Notice of Allowance dated Jul. 30, 2019, issued in connection with U.S. Appl. No. 15/131,254, filed Apr. 18, 2016, 9 pages. |
Notice of Allowance dated Mar. 30, 2020, issued in connection with U.S. Appl. No. 15/973,413, filed May 7, 2018, 5 pages. |
Notice of Allowance dated Nov. 30, 2018, issued in connection with U.S. Appl. No. 15/438,725, filed Feb. 21, 2017, 5 pages. |
Notice of Allowance dated Oct. 30, 2019, issued in connection with U.S. Appl. No. 16/131,392, filed Sep. 14, 2018, 9 pages. |
Notice of Allowance dated Oct. 30, 2020, issued in connection with U.S. Appl. No. 16/528,016, filed Jul. 31, 2019, 10 pages. |
Notice of Allowance dated May 31, 2019, issued in connection with U.S. Appl. No. 15/717,621, filed Sep. 27, 2017, 9 pages. |
Notice of Allowance dated Jun. 4, 2021, issued in connection with U.S. Appl. No. 16/528,265, filed Jul. 31, 2019, 17 pages. |
Notice of Allowance dated Mar. 4, 2020, issued in connection with U.S. Appl. No. 16/444,975, filed Jun. 18, 2019, 10 pages. |
Notice of Allowance dated Feb. 5, 2020, issued in connection with U.S. Appl. No. 16/178,122, filed Nov. 1, 2018, 9 pages. |
Notice of Allowance dated Oct. 5, 2018, issued in connection with U.S. Appl. No. 15/211,748, filed Jul. 15, 2018, 10 pages. |
Notice of Allowance dated Feb. 6, 2019, issued in connection with U.S. Appl. No. 16/102,153, filed Aug. 13, 2018, 9 pages. |
Notice of Allowance dated Feb. 6, 2020, issued in connection with U.S. Appl. No. 16/227,308, filed Dec. 20, 2018, 7 pages. |
Notice of Allowance dated Apr. 7, 2020, issued in connection with U.S. Appl. No. 15/098,760, filed Apr. 14, 2016, 7 pages. |
Notice of Allowance dated Apr. 7, 2020, issued in connection with U.S. Appl. No. 16/147,710, filed Sep. 29, 2018, 15 pages. |
Notice of Allowance dated Jun. 7, 2019, issued in connection with U.S. Appl. No. 16/102,153, filed Aug. 13, 2018, 9 pages. |
Notice of Allowance dated Jun. 7, 2021, issued in connection with U.S. Appl. No. 16/528,224, filed Jul. 31, 2019, 9 pages. |
Notice of Allowance dated Apr. 8, 2022, issued in connection with U.S. Appl. No. 16/813,643, filed Mar. 9, 2020, 7 pages. |
Notice of Allowance dated Nov. 8, 2021, issued in connection with U.S. Appl. No. 17/008,104, filed Aug. 31, 2020, 9 pages. |
Notice of Allowance dated Aug. 9, 2018, issued in connection with U.S. Appl. No. 15/229,868, filed Aug. 5, 2016, 11 pages. |
Notice of Allowance dated Dec. 9, 2021, issued in connection with U.S. Appl. No. 16/845,946, filed Apr. 10, 2020, 10 pages. |
Notice of Allowance dated Feb. 9, 2022, issued in connection with U.S. Appl. No. 17/247,736, filed Dec. 21, 2020, 8 pages. |
Notice of Allowance dated Mar. 9, 2018, issued in connection with U.S. Appl. No. 15/584,782, filed May 2, 2017, 8 pages. |
Oord et al. WaveNet: A Generative Model for Raw Audio. Arxiv.org, Cornell University Library, Sep. 12, 2016, 15 pages. |
Optimizing Siri on HomePod in Far-Field Settings. Audio Software Engineering and Siri Speech Team, Machine earning Journal vol. 1, Issue 12. https://machinelearning.apple.com/2018/12/03/optimizing-siri-on-homepod-in-far-field-settings.html. Dec. 2018, 18 pages. |
Palm, Inc., “Handbook for the Palm VII Handheld,” May 2000, 311 pages. |
Parada et al. Contextual Information Improves OOV Detection in Speech. Proceedings of the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Jun. 2, 2010, 9 pages. |
Pre-Appeal Brief Decision mailed on Jan. 18, 2022, issued in connection with U.S. Appl. No. 16/806,747, filed Mar. 2, 2020, 2 pages. |
Pre-Appeal Brief Decision mailed on Jun. 2, 2021, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 2 pages. |
Preinterview First Office Action dated Aug. 5, 2019, issued in connection with U.S. Appl. No. 16/434,426, filed Jun. 7, 2019, 4 pages. |
Preinterview First Office Action dated Mar. 25, 2020, issued in connection with U.S. Appl. No. 16/109,375, filed Aug. 22, 2018, 6 pages. |
Preinterview First Office Action dated Sep. 30, 2019, issued in connection with U.S. Appl. No. 15/989,715, filed May 25, 2018, 4 pages. |
Preinterview First Office Action dated May 7, 2020, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 5 pages. |
Preinterview First Office Action dated Jan. 8, 2021, issued in connection with U.S. Appl. No. 16/798,967, filed Feb. 24, 2020, 4 pages. |
Notice of Allowance dated Nov. 9, 2022, issued in connection with U.S. Appl. No. 17/385,542, filed Jul. 26, 2021, 8 pages. |
Notice of Allowance dated Apr. 1, 2019, issued in connection with U.S. Appl. No. 15/935,966, filed Mar. 26, 2018, 5 pages. |
Notice of Allowance dated Aug. 1, 2018, issued in connection with U.S. Appl. No. 15/297,627, filed Oct. 19, 2016, 9 pages. |
Notice of Allowance dated Feb. 1, 2022, issued in connection with U.S. Appl. No. 16/439,046, filed Jun. 12, 2019, 9 pages. |
Notice of Allowance dated Jun. 1, 2021, issued in connection with U.S. Appl. No. 16/219,702, filed Dec. 13, 2018, 8 pages. |
Notice of Allowance dated Jun. 1, 2021, issued in connection with U.S. Appl. No. 16/685,135, filed Nov. 15, 2019, 10 pages. |
Notice of Allowance dated Mar. 1, 2022, issued in connection with U.S. Appl. No. 16/879,549, filed May 20, 2020, 9 pages. |
Notice of Allowance dated Sep. 1, 2021, issued in connection with U.S. Appl. No. 15/936,177, filed Mar. 26, 2018, 22 pages. |
Notice of Allowance dated Aug. 10, 2020, issued in connection with U.S. Appl. No. 16/424,825, filed May 29, 2019, 9 pages. |
Notice of Allowance dated Feb. 10, 2021, issued in connection with U.S. Appl. No. 16/138,111, filed Sep. 21, 2018, 8 pages. |
Notice of Allowance dated Jun. 10, 2022, issued in connection with U.S. Appl. No. 16/879,549, filed May 20, 2020, 8 pages. |
Notice of Allowance dated Apr. 11, 2018, issued in connection with U.S. Appl. No. 15/719,454, filed Sep. 28, 2017, 15 pages. |
Notice of Allowance dated May 11, 2022, issued in connection with U.S. Appl. No. 17/135,123, filed Dec. 28, 2020, 8 pages. |
Notice of Allowance dated May 11, 2022, issued in connection with U.S. Appl. No. 17/145,667, filed Jan. 11, 2021, 7 pages. |
Notice of Allowance dated Oct. 11, 2019, issued in connection with U.S. Appl. No. 16/437,476, filed Jun. 11, 2019, 9 pages. |
Notice of Allowance dated Sep. 11, 2019, issued in connection with U.S. Appl. No. 16/154,071, filed Oct. 8, 2018, 5 pages. |
Notice of Allowance dated Aug. 12, 2021, issued in connection with U.S. Appl. No. 16/819,755, filed Mar. 16, 2020, 6 pages. |
Notice of Allowance dated Dec. 12, 2018, issued in connection with U.S. Appl. No. 15/811,468, filed Nov. 13, 2017, 9 pages. |
Notice of Allowance dated Jul. 12, 2017, issued in connection with U.S. Appl. No. 15/098,805, filed Apr. 14, 2016, 8 pages. |
Notice of Allowance dated Jul. 12, 2022, issued in connection with U.S. Appl. No. 16/907,953, filed Jun. 22, 2020, 8 pages. |
Notice of Allowance dated Jul. 12, 2022, issued in connection with U.S. Appl. No. 17/391,404, filed Aug. 2, 2021, 13 pages. |
Notice of Allowance dated Jun. 12, 2019, issued in connection with U.S. Appl. No. 15/670,361, filed Aug. 7, 2017, 7 pages. |
Notice of Allowance dated May 12, 2021, issued in connection with U.S. Appl. No. 16/402,617, filed May 3, 2019, 8 pages. |
Notice of Allowance dated Sep. 12, 2018, issued in connection with U.S. Appl. No. 15/438,744, filed Feb. 21, 2017, 15 pages. |
Notice of Allowance dated Apr. 13, 2022, issued in connection with U.S. Appl. No. 17/236,559, filed Apr. 21, 2021, 7 pages. |
Notice of Allowance dated Dec. 13, 2017, issued in connection with U.S. Appl. No. 15/784,952, filed Oct. 16, 2017, 9 pages. |
Notice of Allowance dated Dec. 13, 2021, issued in connection with U.S. Appl. No. 16/879,553, filed May 20, 2020, 15 pages. |
Notice of Allowance dated Feb. 13, 2019, issued in connection with U.S. Appl. No. 15/959,907, filed Apr. 23, 2018, 10 pages. |
Notice of Allowance dated Jan. 13, 2020, issued in connection with U.S. Appl. No. 16/192,126, filed Nov. 15, 2018, 6 pages. |
Notice of Allowance dated Jan. 13, 2021, issued in connection with U.S. Appl. No. 16/539,843, filed Aug. 13, 2019, 5 pages. |
Notice of Allowance dated Nov. 13, 2020, issued in connection with U.S. Appl. No. 16/131,409, filed Sep. 14, 2018, 11 pages. |
Notice of Allowance dated Aug. 14, 2017, issued in connection with U.S. Appl. No. 15/098,867, filed Apr. 14, 2016, 10 pages. |
Notice of Allowance dated Aug. 14, 2020, issued in connection with U.S. Appl. No. 16/598,125, filed Oct. 10, 2019, 5 pages. |
Notice of Allowance dated Feb. 14, 2017, issued in connection with U.S. Appl. No. 15/229,855, filed Aug. 5, 2016, 11 pages. |
Notice of Allowance dated Jan. 14, 2021, issued in connection with U.S. Appl. No. 17/087,423, filed Nov. 2, 2020, 8 pages. |
Notice of Allowance dated Jan. 14, 2022, issued in connection with U.S. Appl. No. 16/966,397, filed Jul. 30, 2020, 5 pages. |
Notice of Allowance dated Jun. 14, 2017, issued in connection with U.S. Appl. No. 15/282,554, filed Sep. 30, 2016, 11 pages. |
Notice of Allowance dated Nov. 14, 2018, issued in connection with U.S. Appl. No. 15/297,627, filed Oct. 19, 2016, 5 pages. |
Notice of Allowance dated Aug. 15, 2022, issued in connection with U.S. Appl. No. 17/101,949, filed Nov. 23, 2020, 11 pages. |
Notice of Allowance dated Dec. 15, 2017, issued in connection with U.S. Appl. No. 15/223,218, filed Jul. 29, 2016, 7 pages. |
Notice of Allowance dated Jan. 15, 2020, issued in connection with U.S. Appl. No. 16/439,009, filed Jun. 12, 2019, 9 pages. |
Notice of Allowance dated Mar. 15, 2019, issued in connection with U.S. Appl. No. 15/804,776, filed Nov. 6, 2017, 9 pages. |
Notice of Allowance dated Oct. 15, 2019, issued in connection with U.S. Appl. No. 16/437,437, filed Jun. 11, 2019, 9 pages. |
Notice of Allowance dated Oct. 15, 2020, issued in connection with U.S. Appl. No. 16/715,713, filed Dec. 16, 2019, 9 pages. |
Notice of Allowance dated Oct. 15, 2021, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 8 pages. |
Notice of Allowance dated Sep. 15, 2021, issued in connection with U.S. Appl. No. 16/685,135, filed Nov. 15, 2019, 10 pages. |
Notice of Allowance dated Sep. 15, 2022, issued in connection with U.S. Appl. No. 16/736,725, filed Jan. 1, 2020, 11 pages. |
Notice of Allowance dated Apr. 16, 2021, issued in connection with U.S. Appl. No. 16/798,967, filed Feb. 24, 2020, 16 pages. |
Notice of Allowance dated Aug. 16, 2017, issued in connection with U.S. Appl. No. 15/098,892, filed Apr. 14, 2016, 9 pages. |
Notice of Allowance dated Aug. 17, 2017, issued in connection with U.S. Appl. No. 15/131,244, filed Apr. 18, 2016, 9 pages. |
Japanese Patent Office, Office Action and Translation dated Apr. 27, 2021, issued in connection with Japanese Patent Application No. 2020-518400, 10 pages. |
Japanese Patent Office, Office Action and Translation dated Aug. 27, 2020, issued in connection with Japanese Patent Application No. 2019-073349, 6 pages. |
Japanese Patent Office, Office Action and Translation dated Jul. 30, 2020, issued in connection with Japanese Patent Application No. 2019-517281, 6 pages. |
Japanese Patent Office, Office Action and Translation dated Jul. 6, 2020, issued in connection with Japanese Patent Application No. 2019-073348, 10 pages. |
Japanese Patent Office, Office Action and Translation dated Jul. 6, 2021, issued in connection with Japanese Patent Application No. 2019-073349, 6 pages. |
Japanese Patent Office, Office Action and Translation dated Oct. 8, 2019, issued in connection with Japanese Patent Application No. 2019-521032, 5 pages. |
Japanese Patent Office, Office Action dated Dec. 7, 2021, issued in connection with Japanese Patent Application No. 2020-513852, 6 pages. |
Japanese Patent Office, Office Action dated Nov. 29, 2022, issued in connection with Japanese Patent Application No. 2021-181224, 6 pages. |
Japanese Patent Office, Office Action Translation dated Nov. 5, 2019, issued in connection with Japanese Patent Application No. 2019-517281, 2 pages. |
Japanese Patent Office, Office Action Translation dated Oct. 8, 2019, issued in connection with Japanese Patent Application No. 2019-521032, 8 pages. |
Jo et al., “Synchronized One-to-many Media Streaming with Adaptive Playout Control,” Proceedings of SPIE, 2002, pp. 71-82, vol. 4861. |
Johnson, “Implementing Neural Networks into Modern Technology,” IJCNN'99. International Joint Conference on Neural Networks . Proceedings [Cat. No. 99CH36339], Washington, DC, USA, 1999, pp. 1028-1032, vol. 2, doi: 10.1109/IJCNN.1999.831096. [retrieved on Jun. 22, 2020]. |
Jones, Stephen, “Dell Digital Audio Receiver: Digital upgrade for your analog stereo,” Analog Stereo, Jun. 24, 2000 http://www.reviewsonline.com/articles/961906864.htm retrieved Jun. 18, 2014, 2 pages. |
Jose Alvarez and Mathieu Salzmann “Compression-aware Training of Deep Networks” 31st Conference on Neural Information Processing Systems, Nov. 13, 2017, 12pages. |
Joseph Szurley et al, “Efficient computation of microphone utility in a wireless acoustic sensor network with multi-channel Wiener filter based noise reduction”, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, Mar. 25-30, 2012, pp. 2657-2660, XP032227701, DOI: 10.1109/ICASSP .2012.6288463 ISBN: 978-1-4673-0045-2. |
Ketabdar et al. Detection of Out-of-Vocabulary Words in Posterior Based ASR. Proceedings of Interspeech 2007, Aug. 27, 2007, 4 pages. |
Kim et al. Character-Aware Neural Language Models. Retrieved from the Internet: URL: https://arxiv.org/pdf/1508.06615v3.pdf, Oct. 16, 2015, 9 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Oct. 13, 2022, issued in connection with Korean Application No. 10-2021-7030939, 4 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Apr. 19, 2022, issued in connection with Korean Application No. 10-2021-7008937, 14 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Nov. 25, 2021, issued in connection with Korean Application No. 10-2021-7008937, 14 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Apr. 26, 2021, issued in connection with Korean Application No. 10-2021-7008937, 15 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Jul. 26, 2022, issued in connection with Korean Application No. 10-2022-7016656, 17 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Dec. 27, 2021, issued in connection with Korean Application No. 10-2021-7008937, 22 pages. |
Korean Patent Office, Korean Examination Report and Translation dated Oct. 31, 2021, issued in connection with Korean Application No. 10-2022-7024007, 10 pages. |
Korean Patent Office, Korean Office Action and Translation dated Oct. 14, 2021, issued in connection with Korean Application No. 10-2020-7011843, 29 pages. |
Korean Patent Office, Korean Office Action and Translation dated Aug. 16, 2019, issued in connection with Korean Application No. 10-2018-7027452, 14 pages. |
Korean Patent Office, Korean Office Action and Translation dated Apr. 2, 2020, issued in connection with Korean Application No. 10-2020-7008486, 12 pages. |
Korean Patent Office, Korean Office Action and Translation dated Mar. 25, 2020, issued in connection with Korean Application No. 10-2019-7012192, 14 pages. |
Korean Patent Office, Korean Office Action and Translation dated Aug. 26, 2020, issued in connection with Korean Application No. 10-2019-7027640, 16 pages. |
Korean Patent Office, Korean Office Action and Translation dated Mar. 30, 2020, issued in connection with Korean Application No. 10-2020-7004425, 5 pages. |
Korean Patent Office, Korean Office Action and Translation dated Jan. 4, 2021, issued in connection with Korean Application No. 10-2020-7034425, 14 pages. |
Korean Patent Office, Korean Office Action and Translation dated Sep. 9, 2019, issued in connection with Korean Application No. 10-2018-7027451, 21 pages. |
Korean Patent Office, Korean Office Action dated May 8, 2019, issued in connection with Korean Application No. 10-2018-7027451, 7 pages. |
Korean Patent Office, Korean Office Action dated May 8, 2019, issued in connection with Korean Application No. 10-2018-7027452, 5 pages. |
Lei et al. Accurate and Compact Large Vocabulary Speech Recognition on Mobile Devices. Interspeech 2013, Aug. 25, 2013, 4 pages. |
Lengerich et al. An End-to-End Architecture for Keyword Spotting and Voice Activity Detection, arXiv:1611.09405v1, Nov. 28, 2016, 5 pages. |
Louderback, Jim, “Affordable Audio Receiver Furnishes Homes With MP3,” TechTV Vault. Jun. 28, 2000 retrieved Jul. 10, 2014, 2 pages. |
Maja Taseska and Emanual A.P. Habets, “MMSE-Based Blind Source Extraction in Diffuse Noise Fields Using a Complex Coherence-Based a Priori Sap Estimator.” International Workshop on Acoustic Signal Enhancement 2012, Sep. 4-6, 2012, 4pages. |
Matrix—The Ultimate Development Board Sep. 14, 2019 Matrix—The Ultimate Development Board Sep. 14, 2019 https-//web.archive.org/web/20190914035838/https-//www.matrix.one/ , 1 page. |
Mesaros et al. Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge. IEEE/ACM Transactions on Audio, Speech, and Language Processing. Feb. 2018, 16 pages. |
Molina et al., “Maximum Entropy-Based Reinforcement Learning Using a Confidence Measure in Speech Recognition for Telephone Speech,” in IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, No. 5, pp. 1041-1052, Jul. 2010, doi: 10.1109/TASL.2009.2032618. [Retrieved online] URLhttps://ieeexplore.ieee.org/document/5247099?partnum=5247099&searchProductType=IEEE%20Journals%20Transactions. |
Morales-Cordovilla et al. “Room Localization for Distant Speech Recognition,” Proceedings of Interspeech 2014, Sep. 14, 2014, 4 pages. |
Newman, Jared. “Chromecast Audio's multi-room support has arrived,” Dec. 11, 2015, https://www.pcworld.com/article/3014204/customer-electronic/chromcase-audio-s-multi-room-support-has . . . , 1 page. |
Ngo et al. “Incorporating the Conditional Speech Presence Probability in Multi-Channel Wiener Filter Based Noise Reduction in Hearing Aids.” EURASIP Journal on Advances in Signal Processing vol. 2009, Jun. 2, 2009, 11 pages. |
Non-Final Office Action dated Jul. 12, 2021, issued in connection with U.S. Appl. No. 17/008,104, filed Aug. 31, 2020, 6 pages. |
Non-Final Office Action dated Jun. 18, 2021, issued in connection with U.S. Appl. No. 17/236,559, filed Apr. 21, 2021, 9 pages. |
Non-Final Office Action dated Apr. 21, 2021, issued in connection with U.S. Appl. No. 16/109,375, filed Aug. 22, 2018, 9 pages. |
Non-Final Office Action dated Dec. 21, 2020, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 22 pages. |
Non-Final Office Action dated Jul. 22, 2021, issued in connection with U.S. Appl. No. 16/179,779, filed Nov. 2, 2018, 19 pages. |
Notice of Allowance dated Aug. 17, 2022, issued in connection with U.S. Appl. No. 17/135,347, filed Dec. 28, 2020, 14 pages. |
Notice of Allowance dated Feb. 17, 2021, issued in connection with U.S. Appl. No. 16/715,984, filed Dec. 16, 2019, 8 pages. |
Notice of Allowance dated Jul. 17, 2019, issued in connection with U.S. Appl. No. 15/718,911, filed Sep. 28, 2017, 5 pages. |
Notice of Allowance dated Jun. 17, 2020, issued in connection with U.S. Appl. No. 16/141,875, filed Sep. 25, 2018, 6 pages. |
Notice of Allowance dated Nov. 17, 2022, issued in connection with U.S. Appl. No. 17/486,222, filed Sep. 27, 2021, 10 pages. |
Notice of Allowance dated Sep. 17, 2018, issued in connection with U.S. Appl. No. 15/211,689, filed Jul. 15, 2016, 6 pages. |
Notice of Allowance dated Apr. 18, 2019, issued in connection with U.S. Appl. No. 16/173,797, filed Oct. 29, 2018, 9 pages. |
Notice of Allowance dated Dec. 18, 2019, issued in connection with U.S. Appl. No. 16/434,426, filed Jun. 7, 2019, 13 pages. |
Notice of Allowance dated Feb. 18, 2020, issued in connection with U.S. Appl. No. 16/022,662, filed Jun. 28, 2018, 8 pages. |
Notice of Allowance dated Jul. 18, 2019, issued in connection with U.S. Appl. No. 15/438,749, filed Feb. 21, 2017, 9 pages. |
Notice of Allowance dated Jul. 18, 2019, issued in connection with U.S. Appl. No. 15/721,141, filed Sep. 29, 2017, 8 pages. |
Notice of Allowance dated Jul. 18, 2022, issued in connection with U.S. Appl. No. 17/222,151, filed Apr. 5, 2021, 5 pages. |
Notice of Allowance dated Mar. 18, 2021, issued in connection with U.S. Appl. No. 16/177,185, filed Oct. 31, 2018, 8 pages. |
Notice of Allowance dated Aug. 19, 2020, issued in connection with U.S. Appl. No. 16/271,560, filed Feb. 8, 2019, 9 pages. |
Notice of Allowance dated Dec. 19, 2018, issued in connection with U.S. Appl. No. 15/818,051, filed Nov. 20, 2017, 9 pages. |
Notice of Allowance dated Jul. 19, 2018, issued in connection with U.S. Appl. No. 15/681,937, filed Aug. 21, 2017, 7 pages. |
Notice of Allowance dated Mar. 19, 2021, issued in connection with U.S. Appl. No. 17/157,686, filed Jan. 25, 2021, 11 pages. |
Notice of Allowance dated Aug. 2, 2019, issued in connection with U.S. Appl. No. 16/102,650, filed Aug. 13, 2018, 5 pages. |
Notice of Allowance dated Dec. 2, 2020, issued in connection with U.S. Appl. No. 15/989,715, filed May 25, 2018, 11 pages. |
Notice of Allowance dated Dec. 2, 2021, issued in connection with U.S. Appl. No. 16/841,116, filed Apr. 6, 2020, 5 pages. |
Notice of Allowance dated Sep. 2, 2020, issued in connection with U.S. Appl. No. 16/214,711, filed Dec. 10, 2018, 9 pages. |
Notice of Allowance dated Jul. 20, 2020, issued in connection with U.S. Appl. No. 15/984,073, filed May 18, 2018, 12 pages. |
Notice of Allowance dated Jun. 20, 2022, issued in connection with U.S. Appl. No. 16/947,895, filed Aug. 24, 2020, 7 pages. |
Notice of Allowance dated Mar. 20, 2018, issued in connection with U.S. Appl. No. 15/784,952, filed Oct. 16, 2017, 7 pages. |
Notice of Allowance dated Oct. 20, 2021, issued in connection with U.S. Appl. No. 16/439,032, filed Jun. 12, 2019, 8 pages. |
Notice of Allowance dated Sep. 20, 2018, issued in connection with U.S. Appl. No. 15/946,599, filed Apr. 5, 2018, 7 pages. |
Notice of Allowance dated Apr. 21, 2021, issued in connection with U.S. Appl. No. 16/145,275, filed Sep. 28, 2018, 8 pages. |
Notice of Allowance dated Dec. 21, 2021, issued in connection with U.S. Appl. No. 16/271,550, filed Feb. 8, 2019, 11 pages. |
Notice of Allowance dated Feb. 21, 2020, issued in connection with U.S. Appl. No. 16/416,752, filed May 20, 2019, 6 pages. |
Notice of Allowance dated Jan. 21, 2020, issued in connection with U.S. Appl. No. 16/672,764, filed Nov. 4, 2019, 10 pages. |
Notice of Allowance dated Jan. 21, 2021, issued in connection with U.S. Appl. No. 16/600,644, filed Oct. 14, 2019, 7 pages. |
Notice of Allowance dated Nov. 21, 2022, issued in connection with U.S. Appl. No. 17/454,676, filed Nov. 12, 2021, 8 pages. |
Notice of Allowance dated Oct. 21, 2019, issued in connection with U.S. Appl. No. 15/946,585, filed Apr. 5, 2018, 5 pages. |
Notice of Allowance dated Sep. 21, 2022, issued in connection with U.S. Appl. No. 17/128,949, filed Dec. 21, 2020, 8 pages. |
Notice of Allowance dated Aug. 22, 2017, issued in connection with U.S. Appl. No. 15/273,679, filed Sep. 22, 2016, 5 pages. |
Notice of Allowance dated Jan. 22, 2018, issued in connection with U.S. Appl. No. 15/178,180, filed Jun. 9, 2016, 9 pages. |
Notice of Allowance dated Jul. 22, 2020, issued in connection with U.S. Appl. No. 16/131,409, filed Sep. 14, 2018, 13 pages. |
Notice of Allowance dated Jul. 22, 2020, issued in connection with U.S. Appl. No. 16/790,621, filed Feb. 13, 2020, 10 pages. |
Notice of Allowance dated Nov. 22, 2021, issued in connection with U.S. Appl. No. 16/834,483, filed Mar. 30, 2020, 10 pages. |
Notice of Allowance dated Sep. 22, 2022, issued in connection with U.S. Appl. No. 17/163,506, filed Jan. 31, 2021, 13 pages. |
Notice of Allowance dated Sep. 22, 2022, issued in connection with U.S. Appl. No. 17/248,427, filed Jan. 25, 2021, 9 pages. |
Notice of Allowance dated Aug. 23, 2021, issued in connection with U.S. Appl. No. 16/109,375, filed Aug. 22, 2018, 10 pages. |
Notice of Allowance dated Jun. 23, 2021, issued in connection with U.S. Appl. No. 16/814,844, filed Mar. 10, 2020, 8 pages. |
Notice of Allowance dated Apr. 24, 2019, issued in connection with U.S. Appl. No. 16/154,469, filed Oct. 8, 2018, 5 pages. |
Notice of Allowance dated Mar. 24, 2022, issued in connection with U.S. Appl. No. 16/378,516, filed Apr. 8, 2019, 7 pages. |
Notice of Allowance dated Oct. 25, 2021, issued in connection with U.S. Appl. No. 16/723,909, filed Dec. 20, 2019, 11 pages. |
Notice of Allowance dated Aug. 26, 2020, issued in connection with U.S. Appl. No. 15/948,541, filed Apr. 9, 2018, 9 pages. |
Notice of Allowance dated Aug. 26, 2022, issued in connection with U.S. Appl. No. 17/145,667, filed Jan. 11, 2021, 8 pages. |
Notice of Allowance dated May 26, 2021, issued in connection with U.S. Appl. No. 16/927,670, filed Jul. 13, 2020, 10 pages. |
Notice of Allowance dated Oct. 26, 2022, issued in connection with U.S. Appl. No. 17/486,574, filed Sep. 27, 2021, 11 pages. |
Presentations at WinHEC 2000, May 2000, 138 pages. |
Renato De Mori. Spoken Language Understanding: A Survey. Automatic Speech Recognition & Understanding, 2007. IEEE, Dec. 1, 2007, 56 pages. |
Restriction Requirement dated Aug. 14, 2019, issued in connection with U.S. Appl. No. 16/214,711, filed Dec. 10, 2018, 5 pages. |
Restriction Requirement dated Aug. 9, 2018, issued in connection with U.S. Appl. No. 15/717,621, filed Sep. 27, 2017, 8 pages. |
Rottondi et al., “An Overview on Networked Music Performance Technologies,” IEEE Access, vol. 4, pp. 8823-8843, 2016, DOI: 10.1109/ACCESS.2016.2628440, 21 pages. |
Rybakov et al. Streaming keyword spotting on mobile devices, arXiv:2005.06720v2, Jul. 29, 2020, 5 pages. |
Shan et al. Attention-based End-to-End Models for Small-Footprint Keyword Spotting, arXiv:1803.10916v1, Mar. 29, 2018, 5 pages. |
Snips: How to Snips—Assistant creation & Installation, Jun. 26, 2017, 6 pages. |
Souden et al. “An Integrated Solution for Online Multichannel Noise Tracking and Reduction.” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19. No. 7, Sep. 7, 2011, 11 pages. |
Souden et al. “Gaussian Model-Based Multichannel Speech Presence Probability” IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, No. 5, Jul. 5, 2010, 6pages. |
Souden et al. “On Optimal Frequency-Domain Multichannel Linear Filtering for Noise Reduction.” IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, No. 2, Feb. 2010, 17pages. |
Speidel, Hans. Chatbot Training: How to use training data to provide fully automated customer support. Retrieved from the Internet: URL: https://www.crowdguru.de/wp-content/uploads/Case-Study-Chatbox-training-How-to-use-training-data-to-provide-fully-automated-customer-support.pdf. Jun. 29, 2017, 4 pages. |
Stemmer et al. Speech Recognition and Understanding on Hardware-Accelerated DSP. Proceedings of Interspeech 2017: Show & Tell Contribution, Aug. 20, 2017, 2 pages. |
Steven J. Nowlan and Geoffrey E. Hinton “Simplifying Neural Networks by Soft Weight-Sharing” Neural Computation 4, 1992, 21 pages. |
Tsiami et al. “Experiments in acoustic source localization using sparse arrays in adverse indoors environments”, 2014 22nd European Signal Processing Conference, Sep. 1, 2014, 5 pages. |
Tsung-Hsien Wen et al: “A Network-based End-to-End Trainable Task-oriented Dialogue System”, CORR (ARXIV), vol. 1604.04562v1, Apr. 15, 2016 (Apr. 15, 2016), pp. 1-11. |
Tsung-Hsien Wen et al: “A Network-based End-to-End Trainable Task-oriented Dialogue System”, CORR ARXIV, vol. 1604.04562v1, Apr. 15, 2016, pp. 1-11, XP055396370, Stroudsburg, PA, USA. |
Tweet: “How to start using Google app voice commands to make your life easier Share This Story shop @Bullet”, Jan. 21, 2016, https://bgr.com/2016/01/21/best-ok-google-voice-commands/, 3 page. |
Ullrich et al. “Soft Weight-Sharing for Neural Network Compression.” ICLR 2017, 16 pages. |
U.S. Appl. No. 60/490,768, filed Jul. 28, 2003, entitled “Method for synchronizing audio playback between multiple networked devices,” 13 pages. |
U.S. Appl. No. 60/825,407, filed Sep. 12, 2006, entitled “Controlling and manipulating groupings in a multi-zone music or media system,” 82 pages. |
UPnP; “Universal Plug and Play Device Architecture,” Jun. 8, 2000; version 1.0; Microsoft Corporation; pp. 1-54. |
Vacher at al. “Recognition of voice commands by multisource ASR and noise cancellation in a smart home environment” Signal Processing Conference 2012 Proceedings of the 20th European, IEEE, Aug. 27, 2012, 5 pages. |
Vacher et al. “Speech Recognition in a Smart Home: Some Experiments for Telemonitoring,” 2009 Proceedings of the 5th Conference on Speech Technology and Human-Computer Dialogoue, Constant, 2009, 10 pages. |
“S Voice or Google Now?”; https://web.archive.org/web/20160807040123/lowdown.carphonewarehouse.com/news/s-voice-or-google-now/ . . . , Apr. 28, 2015; 4 pages. |
Wen et al. A Network-based End-to-End Trainable Task-oriented Dialogue System, CORR (ARXIV), Apr. 15, 2016, 11 pages. |
Wikipedia. “The Wayback Machine”, Speech recognition software for Linux, Sep. 22, 2016, 4 pages. [retrieved on Mar. 28, 2022], Retrieved from the Internet: URL: https://web.archive.org/web/20160922151304/https://en.wikipedia.org/wiki/Speech_recognition_software_for_Linux. |
Wu et al. End-to-End Recurrent Entity Network for Entity-Value Independent Goal-Oriented Dialog Learning. DSTC6—Dialog System Technology Challenges, Dec. 10, 2017, 5 pages. |
Wung et al. “Robust Acoustic Echo Cancellation in the Short-Time Fourier Transform Domain Using Adaptive Crossband Filters” IEEE International Conference on Acoustic, Speech and Signal Processing ICASSP, 2014, p. 1300-1304. |
Xiao et al. “A Learning-Based Approach to Direction of Arrival Estimation in Noisy and Reverberant Environments,” 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 19, 2015, 5 pages. |
Xiaoguang et al. “Robust Small-Footprint Keyword Spotting Using Sequence-To-Sequence Model with Connectionist Temporal Classifier”, 2019 IEEE, Sep. 28, 2019, 5 pages. |
Xu et al. An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking. ARXIV.org, Cornell University Library, May 3, 2018, 10 pages. |
Yamaha DME 64 Owner's Manual; copyright 2004, 80 pages. |
Yamaha DME Designer 3.0 Owner's Manual; Copyright 2008, 501 pages. |
Yamaha DME Designer 3.5 setup manual guide; copyright 2004, 16 pages. |
Yamaha DME Designer 3.5 User Manual; Copyright 2004, 507 pages. |
Zaykovskiy, Dmitry. Survey of the Speech Recognition Techniques for Mobile Devices. Proceedings of Specom 2006, Jun. 25, 2006, 6 pages. |
Non-Final Office Action dated Sep. 16, 2021, issued in connection with U.S. Appl. No. 16/879,553, filed May 20, 2020, 24 pages. |
Non-Final Office Action dated Aug. 17, 2021, issued in connection with U.S. Appl. No. 17/236,559, filed Apr. 21, 2021, 10 pages. |
Non-Final Office Action dated Sep. 17, 2020, issued in connection with U.S. Appl. No. 16/600,949, filed Oct. 14, 2019, 29 pages. |
Non-Final Office Action dated Apr. 18, 2018, issued in connection with U.S. Appl. No. 15/811,468, filed Nov. 13, 2017, 14 pages. |
Non-Final Office Action dated Aug. 18, 2021, issued in connection with U.S. Appl. No. 16/845,946, filed Apr. 10, 2020, 14 pages. |
Non-Final Office Action dated Jan. 18, 2019, issued in connection with U.S. Appl. No. 15/721,141, filed Sep. 29, 2017, 18 pages. |
Non-Final Office Action dated Oct. 18, 2019, issued in connection with U.S. Appl. No. 15/098,760, filed Apr. 14, 2016, 27 pages. |
Non-Final Office Action dated Oct. 18, 2022, issued in connection with U.S. Appl. No. 16/949,973, filed Nov. 23, 2020, 31 pages. |
Non-Final Office Action dated Sep. 18, 2019, issued in connection with U.S. Appl. No. 16/179,779, filed Nov. 2, 2018, 14 pages. |
Non-Final Office Action dated Apr. 19, 2017, issued in connection with U.S. Appl. No. 15/131,776, filed Apr. 18, 2016, 12 pages. |
Non-Final Office Action dated Dec. 19, 2019, issued in connection with U.S. Appl. No. 16/147,710, filed Sep. 29, 2018, 10 pages. |
Non-Final Office Action dated Feb. 19, 2020, issued in connection with U.S. Appl. No. 16/148,879, filed Oct. 1, 2018, 15 pages. |
Non-Final Office Action dated Sep. 19, 2022, issued in connection with U.S. Appl. No. 17/385,542, filed Jul. 26, 2021, 9 pages. |
Non-Final Office Action dated Sep. 2, 2020, issued in connection with U.S. Appl. No. 16/290,599, filed Mar. 1, 2019, 17 pages. |
Non-Final Office Action dated Sep. 2, 2021, issued in connection with U.S. Appl. No. 16/947,895, filed Aug. 24, 2020, 16 pages. |
Non-Final Office Action dated Feb. 20, 2018, issued in connection with U.S. Appl. No. 15/211,748, filed Jul. 15, 2016, 31 pages. |
Non-Final Office Action dated Jun. 20, 2019, issued in connection with U.S. Appl. No. 15/946,585, filed Apr. 5, 2018, 10 pages. |
Non-Final Office Action dated Oct. 20, 2022, issued in connection with U.S. Appl. No. 17/532,674, filed Nov. 22, 2021, 52 pages. |
Non-Final Office Action dated Aug. 21, 2019, issued in connection with U.S. Appl. No. 16/192,126, filed Nov. 15, 2018, 8 pages. |
Non-Final Office Action dated Feb. 21, 2019, issued in connection with U.S. Appl. No. 16/214,666, filed Dec. 10, 2018, 12 pages. |
Non-Final Office Action dated Jan. 21, 2020, issued in connection with U.S. Appl. No. 16/214,711, filed Dec. 10, 2018, 9 pages. |
Non-Final Office Action dated Jan. 21, 2020, issued in connection with U.S. Appl. No. 16/598,125, filed Oct. 10, 2019, 25 pages. |
Non-Final Office Action dated Oct. 21, 2019, issued in connection with U.S. Appl. No. 15/973,413, filed May 7, 2018, 10 pages. |
Non-Final Office Action dated Jul. 22, 2020, issued in connection with U.S. Appl. No. 16/145,275, filed Sep. 28, 2018, 11 pages. |
Non-Final Office Action dated May 22, 2018, issued in connection with U.S. Appl. No. 15/946,599, filed Apr. 5, 2018, 19 pages. |
Non-Final Office Action dated Sep. 22, 2020, issued in connection with U.S. Appl. No. 16/539,843, filed Aug. 13, 2019, 7 pages. |
Non-Final Office Action dated Jun. 23, 2021, issued in connection with U.S. Appl. No. 16/439,032, filed Jun. 12, 2019, 13 pages. |
Non-Final Office Action dated Mar. 23, 2022, issued in connection with U.S. Appl. No. 16/907,953, filed Jun. 22, 2020, 7 pages. |
Non-Final Office Action dated May 23, 2019, issued in connection with U.S. Appl. No. 16/154,071, filed Oct. 8, 2018, 36 pages. |
Non-Final Office Action dated Nov. 23, 2020, issued in connection with U.S. Appl. No. 16/524,306, filed Jul. 29, 2019, 14 pages. |
Non-Final Office Action dated Sep. 23, 2020, issued in connection with U.S. Appl. No. 16/177,185, filed Oct. 31, 2018, 17 pages. |
Non-Final Office Action dated Sep. 23, 2022, issued in connection with U.S. Appl. No. 16/153,530, filed Oct. 5, 2018, 25 pages. |
Non-Final Office Action dated Aug. 24, 2017, issued in connection with U.S. Appl. No. 15/297,627, filed Oct. 19, 2016, 13 pages. |
Non-Final Office Action dated Jul. 24, 2019, issued in connection with U.S. Appl. No. 16/439,009, filed Jun. 12, 2019, 26 pages. |
Non-Final Office Action dated May 24, 2022, issued in connection with U.S. Appl. No. 17/101,949, filed Nov. 23, 2020, 10 pages. |
Non-Final Office Action dated Jul. 25, 2017, issued in connection with U.S. Appl. No. 15/273,679, filed Jul. 22, 2016, 11 pages. |
Non-Final Office Action dated Oct. 25, 2022, issued in connection with U.S. Appl. No. 17/549,034, filed Dec. 13, 2021, 20 pages. |
Non-Final Office Action dated Dec. 26, 2018, issued in connection with U.S. Appl. No. 16/154,469, filed Oct. 8, 2018, 7 pages. |
Non-Final Office Action dated Jan. 26, 2017, issued in connection with U.S. Appl. No. 15/098,867, filed Apr. 14, 2016, 16 pages. |
Non-Final Office Action dated May 26, 2022, issued in connection with U.S. Appl. No. 16/989,805, filed Aug. 10, 2020, 14 pages. |
Non-Final Office Action dated Oct. 26, 2017, issued in connection with U.S. Appl. No. 15/438,744, filed Feb. 21, 2017, 12 pages. |
Non-Final Office Action dated Oct. 26, 2021, issued in connection with U.S. Appl. No. 16/736,725, filed Jan. 7, 2020, 12 pages. |
Non-Final Office Action dated Jun. 27, 2018, issued in connection with U.S. Appl. No. 15/438,749, filed Feb. 21, 2017, 16 pages. |
Non-Final Office Action dated Jun. 27, 2019, issued in connection with U.S. Appl. No. 16/437,437, filed Jun. 11, 2019, 8 pages. |
Non-Final Office Action dated Jun. 27, 2019, issued in connection with U.S. Appl. No. 16/437,476, filed Jun. 11, 2019, 8 pages. |
Non-Final Office Action dated Mar. 27, 2020, issued in connection with U.S. Appl. No. 16/790,621, filed Feb. 13, 2020, 8 pages. |
Non-Final Office Action dated May 27, 2020, issued in connection with U.S. Appl. No. 16/715,713, filed Dec. 16, 2019, 14 pages. |
Non-Final Office Action dated Oct. 27, 2020, issued in connection with U.S. Appl. No. 16/213,570, filed Dec. 7, 2018, 13 pages. |
Non-Final Office Action dated Oct. 27, 2020, issued in connection with U.S. Appl. No. 16/715,984, filed Dec. 16, 2019, 14 pages. |
International Bureau, International Search Report and Written Opinion dated Nov. 10, 2020, issued in connection with International Application No. PCT/US2020/044250, filed on Jul. 30, 2020, 15 pages. |
International Bureau, International Search Report and Written Opinion dated Dec. 11, 2019, issued in connection with International Application No. PCT/US2019/052129, filed on Sep. 20, 2019, 18 pages. |
International Bureau, International Search Report and Written Opinion dated Nov. 13, 2018, issued in connection with International Application No. PCT/US2018/045397, filed on Aug. 6, 2018, 11 pages. |
International Bureau, International Search Report and Written Opinion dated Jan. 14, 2019, issued in connection with International Application No. PCT/US2018053472, filed on Sep. 28, 2018, 10 pages. |
International Bureau, International Search Report and Written Opinion dated Jul. 14, 2020, issued in connection with International Application No. PCT/US2020/017150, filed on Feb. 7, 2020, 27 pages. |
International Bureau, International Search Report and Written Opinion dated Nov. 14, 2017, issued in connection with International Application No. PCT/US2017/045521, filed on Aug. 4, 2017, 10 pages. |
International Bureau, International Search Report and Written Opinion dated Jul. 17, 2019, issued in connection with International Application No. PCT/US2019/032934, filed on May 17, 2019, 17 pages. |
International Bureau, International Search Report and Written Opinion dated Nov. 18, 2019, issued in connection with International Application No. PCT/US2019/048558, filed on Aug. 28, 2019, 11 pages. |
International Bureau, International Search Report and Written Opinion dated Nov. 18, 2019, issued in connection with International Application No. PCT/US2019052841, filed on Sep. 25, 2019, 12 pages. |
International Bureau, International Search Report and Written Opinion dated Mar. 2, 2020, issued in connection with International Application No. PCT/US2019064907, filed on Dec. 6, 2019, 11 pages. |
International Bureau, International Search Report and Written Opinion dated Mar. 2, 2020, issued in connection with International Application No. PCT/US2019/064907, filed on Dec. 6, 2019, 9 pages. |
International Bureau, International Search Report and Written Opinion dated Dec. 20, 2019, issued in connection with International Application No. PCT/US2019052654, filed on Sep. 24, 2019, 11 pages. |
International Bureau, International Search Report and Written Opinion dated Sep. 21, 2020, issued in connection with International Application No. PCT/US2020/037229, filed on Jun. 11, 2020, 17 pages. |
International Bureau, International Search Report and Written Opinion dated Oct. 22, 2020, issued in connection with International Application No. PCT/US2020/044282, filed on Jul. 30, 2020, 15 pages. |
International Bureau, International Search Report and Written Opinion dated Apr. 23, 2021, issued in connection with International Application No. PCT/US2021/070007, filed on Jan. 6, 2021, 11 pages. |
International Bureau, International Search Report and Written dated Jul. 24, 2018, issued in connection with International Application No. PCT/US2018/019010, filed on Feb. 21, 2018, 12 pages. |
International Bureau, International Search Report and Written Opinion, dated Feb. 27, 2019, issued in connection with International Application No. PCT/US2018/053123, filed on Sep. 27, 2018, 16 pages. |
International Bureau, International Search Report and Written Opinion dated Sep. 27, 2019, issued in connection with International Application No. PCT/US2019/039828, filed on Jun. 28, 2019, 13 pages. |
International Bureau, International Search Report and Written Opinion dated Nov. 29, 2019, issued in connection with International Application No. PCT/US2019/053253, filed on Sep. 29, 2019, 14 pages. |
International Bureau, International Search Report and Written Opinion dated Sep. 4, 2019, issued in connection with International Application No. PCT/US2019/033945, filed on May 24, 2019, 8 pages. |
International Bureau, International Search Report and Written Opinion dated Aug. 6, 2020, issued in connection with International Application No. PCT/FR2019/000081, filed on May 24, 2019, 12 pages. |
International Bureau, International Search Report and Written Opinion dated Dec. 6, 2018, issued in connection with International Application No. PCT/US2018/050050, filed on Sep. 7, 2018, 9 pages. |
International Bureau, International Search Report and Written Opinion dated Dec. 6, 2019, issued in connection with International Application No. PCT/US2019050852, filed on Sep. 12, 2019, 10 pages. |
International Bureau, International Search Report and Written Opinion dated Oct. 6, 2017, issued in connection with International Application No. PCT/US2017/045551, filed on Aug. 4, 2017, 12 pages. |
International Bureau, International Search Report and Written Opinion dated Apr. 8, 2020, issued in connection with International Application No. PCT/US2019/067576, filed on Dec. 19, 2019, 12 pages. |
International Searching Authority, International Search Report and Written Opinion dated Feb. 8, 2021, issued in connection with International Application No. PCT/EP2020/082243, filed on Nov. 16, 2020, 10 pages. |
International Searching Authority, International Search Report and Written Opinion dated Feb. 12, 2021, issued in connection with International Application No. PCT/US2020/056632, filed on Oct. 21, 2020, 10 pages. |
International Searching Authority, International Search Report and Written Opinion dated Dec. 19, 2018, in connection with International Application No. PCT/US2018/053517, 13 pages. |
International Searching Authority, International Search Report and Written Opinion dated Nov. 22, 2017, issued in connection with International Application No. PCT/US2017/054063, filed on Sep. 28, 2017, 11 pages. |
International Searching Authority, International Search Report and Written Opinion dated Apr. 23, 2021, issued in connection with International Application No. PCT/US2020/066231, filed on Dec. 18, 2020, 9 pages. |
International Searching Authority, International Search Report and Written Opinion dated Jan. 23, 2018, issued in connection with International Application No. PCT/US2017/57220, filed on Oct. 18, 2017, 8 pages. |
International Searching Authority, International Search Report and Written Opinion dated May 23, 2017, issued in connection with International Application No. PCT/US2017/018739, Filed on Feb. 21, 2017, 10 pages. |
International Searching Authority, International Search Report and Written Opinion dated Oct. 23, 2017, issued in connection with International Application No. PCT/US2017/042170, filed on Jul. 14, 2017, 15 pages. |
International Searching Authority, International Search Report and Written Opinion dated Oct. 24, 2017, issued in connection with International Application No. PCT/US2017/042227, filed on Jul. 14, 2017, 16 pages. |
International Searching Authority, International Search Report and Written Opinion dated May 30, 2017, issued in connection with International Application No. PCT/US2017/018728, Filed on Feb. 21, 2017, 11 pages. |
Japanese Patent Office, Decision of Refusal and Translation dated Oct. 4, 2022, issued in connection with Japanese Patent Application No. 2021-535871, 6 pages. |
Japanese Patent Office, Decision of Refusal and Translation dated Jul. 26, 2022, issued in connection with Japanese Patent Application No. 2020-513852, 10 pages. |
Japanese Patent Office, Decision of Refusal and Translation dated Jun. 8, 2021, issued in connection with Japanese Patent Application No. 2019-073348, 5 pages. |
Japanese Patent Office, English Translation of Office Action dated Nov. 17, 2020, issued in connection with Japanese Application No. 2019-145039, 5 pages. |
Japanese Patent Office, English Translation of Office Action dated Aug. 27, 2020, issued in connection with Japanese Application No. 2019-073349, 6 pages. |
Japanese Patent Office, English Translation of Office Action dated Jul. 30, 2020, issued in connection with Japanese Application No. 2019-517281, 26 pages. |
Japanese Patent Office, Non-Final Office Action and Translation dated Nov. 5, 2019, issued in connection with Japanese Patent Application No. 2019-517281, 6 pages. |
Japanese Patent Office, Notice of Reasons for Refusal and Translation dated Sep. 13, 2022, issued in connection with Japanese Patent Application No. 2021-163622, 12 pages. |
Japanese Patent Office, Notice of Reasons for Refusal and Translation dated Jun. 22, 2021, issued in connection with Japanese Patent Application No. 2020-517935, 4 pages. |
Japanese Patent Office, Notice of Reasons for Refusal and Translation dated Nov. 28, 2021, issued in connection with Japanese Patent Application No. 2020-550102, 9 pages. |
Japanese Patent Office, Office Action and Translation dated Nov. 15, 2022, issued in connection with Japanese Patent Application No. 2021-146144, 9 pages. |
Japanese Patent Office, Office Action and Translation dated Mar. 16, 2021, issued in connection with Japanese Patent Application No. 2020-506725, 7 pages. |
Japanese Patent Office, Office Action and Translation dated Nov. 17, 2020, issued in connection with Japanese Patent Application No. 2019-145039, 7 pages. |
Japanese Patent Office, Office Action and Translation dated Apr. 20, 2021, issued in connection with Japanese Patent Application No. 2020-513852, 9 pages. |
Japanese Patent Office, Office Action and Translation dated Feb. 24, 2021, issued in connection with Japanese Patent Application No. 2019-517281, 4 pages. |
Number | Date | Country | |
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20230021785 A1 | Jan 2023 | US |
Number | Date | Country | |
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Parent | 16679538 | Nov 2019 | US |
Child | 17810533 | US | |
Parent | 15670361 | Aug 2017 | US |
Child | 16679538 | US |