This disclosure relates generally to ear mountable listening devices.
Ear mounted listening devices include headphones, which are a pair of loudspeakers worn on or around a user's ears. Circumaural headphones use a band on the top of the user's head to hold the speakers in place over or in the user's ears. Another type of ear mounted listening device is known as earbuds or earpieces and include individual monolithic units that plug into the user's ear canal.
Both headphones and ear buds are becoming more common with increased use of personal electronic devices. For example, people use headphones to connect to their phones to play music, listen to podcasts, place/receive phone calls, or otherwise. However, headphone devices are currently not designed for all-day wearing since their presence blocks outside noises from entering the ear canal without accommodations to hear the external world when the user so desires. Thus, the user is required to remove the devices to hear conversations, safely cross streets, etc.
Hearing aids for people who experience hearing loss are another example of an ear mountable listening device. These devices are commonly used to amplify environmental sounds. While these devices are typically worn all day, they often fail to accurately reproduce environmental cues, thus making it difficult for wearers to localize reproduced sounds. As such, hearing aids also have certain drawbacks when worn all day in a variety of environments. Furthermore, conventional hearing aid designs are fixed devices intended to amplify whatever sounds emanate from directly in front of the user. However, an auditory scene surrounding the user may be more complex and the user's listening needs may not be as simple as merely amplifying sounds emanating directly in front of the user.
With any of the above ear mountable listening devices, monolithic implementations are common. These monolithic designs are not easily custom tailored to the end user, and if damaged, require the entire device to be replaced at greater expense. Accordingly, a dynamic, multi-use, cost effective, ear mountable listening device capable of providing all day comfort in a variety of auditory scenes is desirable.
Non-limiting and non-exhaustive embodiments of the invention are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified. Not all instances of an element are necessarily labeled so as not to clutter the drawings where appropriate. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating the principles being described.
Embodiments of a system, apparatus, and method of operation for an ear-mountable listening device having a microphone array and electronics capable of correcting an audio output to compensate for changes in the rotational position of the microphone array are described herein. In the following description numerous specific details are set forth to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the techniques described herein can be practiced without one or more of the specific details, or with other methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring certain aspects.
Reference throughout this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments, the ear-mountable listening device 100 includes a rotatable component 102 in which the microphone array for capturing sounds emanating from the user's environment is disposed. Rotatable component 102 may serve as a rotatable user interface for controlling one or more user selectable functions (e.g., volume control, etc.) thus changing the rotational position of the microphone array with respect to the user's ear. Additionally, each time the user inserts or mounts ear-mountable listening device 100 to their ear, they may do so with some level of rotational variability. These rotational variances of the internal microphone array affect the ability to preserve spaciousness and spatial awareness of the user's environment, to reassert the user's natural HRTF, or to leverage acoustical beamforming techniques in an intelligible and useful manner for the end-user. Accordingly, techniques described herein apply a rotational correct that compensates for these rotational variances of the microphone array.
The steering of nulls 125 and/or lobes 135 is achieved by adaptive adjustments to the weights (e.g., gain or amplitude) or phase delays applied to the audio signals output from each microphone in the microphone arrays. The phased array is adaptive because these weights or phase delays are not fixed, but rather dynamically adjusted, either automatically due to implicit user inputs or on-demand in response to explicit user inputs. Acoustical gain pattern 120 itself may be adjusted to have a variable number and shape of nulls 125 and lobes 130 via appropriate adjustment to the weights and phase delays. This enables binaural listening system 101 to cancel and/or amplify a variable number of unique sources 135, 140 in a variable number of different orientations relative to the user. For example, the binaural listening system 101 may be adapted to attenuate unique source 140 directly in front of the user while amplifying or passing a unique source positioned behind or lateral to the user.
In one embodiment, the rotational position of component 102 (including the microphone array) is tracked in real-time as it varies. Variability in the rotational position may be due to variability in rotational placement when the user inserts, or otherwise mounts, ear device 100 to his/her ear, or due to intentional rotations of component 102 when used as a user interface for selecting/adjusting a user function (e.g., volume control). Once the rotational position of component 102 is determined, an appropriate rotational correction (e.g., rotational transformation) may be applied by the electronics to the audio signals captured by the microphone array, thus enabling preservation of the user's ability to localize sounds in their physical environment despite rotational changes in component 102 (and the internal microphone array) relative to the ear.
Referring to
The illustrated embodiment of acoustic package 210 includes one or more speakers 212, and in some embodiments, an internal microphone 213 oriented and positioned to focus on user noises emanating from the ear canal, along with electromechanical components of a rotary user interface. A distal end of acoustic package 210 may include a cylindrical post 220 that slides into and couples with a cylindrical port 207 on the proximal side of electronics package 205. In embodiments where the main circuit board within electronics package 205 is an annular disk, cylindrical port 207 aligns with the central hole (e.g., see
Post 220 may be held mechanically and/or magnetically in place while allowing electronics package 205 to be rotated about central axial axis 225 relative to acoustic package 210 and soft ear interface 215. Electronics package 205 represents one possible implementation of rotatory component 102 illustrated in
Soft ear interface 215 is fabricated of a flexible material (e.g., silicon, flexible polymers, etc.) and has a shape to insert into a concha and ear canal of the user to mechanically hold ear-mountable listening device 100 in place (e.g., via friction or elastic force fit). Soft ear interface 215 may be a custom molded piece (or fabricated in a limited number of sizes) to accommodate different concha and ear canal sizes/shapes. Soft ear interface 215 provides a comfort fit while mechanically sealing the ear to dampen or attenuate direct propagation of external sounds into the ear canal. Soft ear interface 215 includes an internal cavity shaped to receive a proximal end of acoustic package 210 and securely holds acoustic package 210 therein, aligning ports 235 with in-ear aperture 240. A flexible flange 245 seals soft ear interface 215 to the backside of electronics package 205 encasing acoustic package 210 and keeping moisture away from acoustic package 210. Though not illustrated, in some embodiments, acoustic package 210 may include a barbed ridge that friction fits or “clicks” into a mating indent feature within soft ear interface 215.
In one embodiment, microphones 310 are arranged in a ring pattern (e.g., circular array, elliptical array, etc.) around a perimeter of main circuit board 315. Main circuit board 315 itself may have a flat disk shape, and in some embodiments, is an annular disk with a central hole. There are a number of advantages to mounting multiple microphones 310 about a flat disk on the side of the user's head for an ear-mountable listening device. However, one limitation of such an arrangement is that the flat disk restricts what can be done with the space occupied by the disk. This becomes a significant limitation if it is necessary or desirable to orientate a loudspeaker, such as speaker 320 (or speakers 212), on axis with the auditory canal as this may push the flat disk (and thus electronics package 205) quite proud of the ears. In the case of a binaural listening system, protrusion of electronics package 205 significantly out past the pinna plane may even distort the natural time of arrival of the sounds to each ear and further distort spatial perception and the user's HRTF potentially beyond a calibratable correction. Fashioning the disk as an annulus (or donut) enables protrusion of the driver of speaker 320 (or speakers 212) through main circuit board 315 and thus a more direct orientation/alignment of speaker 320 with the entrance of the auditory canal.
Microphones 310 may each be disposed on their own individual microphone substrates. The microphone port of each microphone 310 may be spaced in substantially equal angular increments about central axial axis 225. In
Compute module 325 may include a programmable microcontroller that executes software/firmware logic stored in memory 330, hardware logic (e.g., application specific integrated circuit, field programmable gate array, etc.), or a combination of both. Although
Sensors 335 may include a variety of sensors such as an inertial measurement unit (IMU) including one or more of a three axis accelerometer, a magnetometer (e.g., compass), a gyroscope, or any combination thereof. Communication interface 345 may include one or more wireless transceivers including near-field magnetic induction (NFMI) communication circuitry and antenna, ultra-wideband (UWB) transceivers, a WiFi transceiver, a radio frequency identification (RFID) backscatter tag, a Bluetooth antenna, or otherwise. Interface circuitry 350 may include a capacitive touch sensor disposed across the distal surface of electronics package 205 to support touch commands and gestures on the outer portion of the puck-like surface, as well as a rotary user interface (e.g., rotary encoder) to support rotary commands by rotating the puck-like surface of electronics package 205. A mechanical push button interface operated by pushing on electronics package 205 may also be implemented.
In a process block 405, sounds from the external environment incident upon array 305 are captured with microphones 310. Due to the plurality of microphones 310 along with their physical separation, the spaciousness or spatial information of the sounds is also captured (process block 410). By organizing microphones 310 into a ring pattern (e.g., circular array) with equal angular increments about central axial axis 225, the spatial separation of microphones 310 is maximized for a given area thereby improving the spatial information that can be extracted by compute module 325 from array 305. Of course, other geometries may be implemented and/or optimized to capture various perceptually relevant acoustic information by sampling some regions more densely than others. In the case of binaural listening system 101 operating with linked microphone arrays, additional spatial information can be extracted from the pair of ear devices 100 related to interaural differences. For example, interaural time differences of sounds incidents on each of the user's ears can be measured to extract spatial information. Level (or volume) difference cues can be analyzed between the user's ears. Spectral shaping differences between the user's ears can also be analyzed. This interaural spatial information is in addition to the intra-aural time and spectral differences that can be measured across a single microphone array 305. All of this spatial/spectral information can be captured by arrays 305 of the binaural pair and extracted from the incident sounds emanating from the user's environment.
Spatial information includes the diversity of amplitudes and phase delays across the acoustical frequency spectrum of the sounds captured by each microphone 310 along with the respective positions of each microphone. In some embodiments, the number of microphones 310 along with their physical separation (both within a single ear-mountable listening device and across a binaural pair of ear-mountable listening devices worn together) can capture spatial information with sufficient spatial diversity to localize the origination of the sounds within the user's environment. Compute module 325 can use this spatial information to recreate an audio signal for driving speaker(s) 320 that preserves the spaciousness of the original sounds (in the form of phase delays and amplitudes applied across the audible spectral range). In one embodiment, compute module 325 is a neural network trained to leverage the spatial information and reassert, or otherwise preserve, the user's natural HRTF so that the user's brain does not need to relearn a new HRTF when wearing ear-mountable listening device 100. In yet another embodiment, compute module 325 includes one or more DSP modules. By monitoring the rotational position of microphone array 305 in real-time and applying a rotational correction, the HRTF is preserved despite rotational variability. While the human mind is capable of relearning new HRTFs within limits, such training can take over a week of uninterrupted learning. Since a user of ear-mountable listening device 100 (or binaural listening system 101) would be expected to wear the device some days and not others, or for only part of a day, preserving/reasserting the user's natural HRTF may help avoid disorientating the user and reduce the barrier to adoption of a new technology.
In a decision block 415, if any user inputs are sensed, process 400 continues to process blocks 420 and 425 where any user commands are registered. In process block 420, user commands may be touch commands (e.g., via a capacitive touch sensor or mechanical button disposed in electronics package 205), motion commands (e.g., head motions or nodes sensed via a motion sensor in electronics package 205), voice commands (e.g., natural language or vocal noises sensed via internal microphone 355 or array 305), a remote command issued via external remote 360, or brainwaves sensed via brainwave sensors/electrodes disposed in or on ear devices 100 (process block 420). Touch commands may even be received as touch gestures on the distal surface of electronics package 205.
User commands may also include rotary commands received via rotating electronics package 205 (process block 425). The rotary commands may be determined using the IMU to sense each rotational detent via sensing changes in the gravitational or magnetic vectors. Alternatively (or additionally), microphone array 305 may be used to sense the rotational orientation of electronics package 205 using a voice direction discovery and thus implement the rotary encoder. Referring to
Since the user may not be talking when operating the rotary interface, the acoustical beamforming and localization may be a periodic calibration while the IMU or other rotary encoders are used for instantaneous registration of rotary motion. Alternatively, if the user is determined to be talking or making other vocal noises, but is vigorously moving (e.g., jogging, playing sports, etc.) such that the IMU data is not deemed reliable, or the IMU data suggests that the user is not holding their head level, then voice direction discovery may be favored over, or considered in concert with, outputs from the IMU. Upon registering a user command, compute module 325 selects the appropriate function, such as volume adjust, skip/pause song, accept or end phone call, enter enhanced voice mode, enter active noise cancellation mode, enter acoustical beam steering mode, or otherwise (process block 430).
Once the user rotates electronics package 205, the angular position of each microphone 310 in microphone array 305 is changed. This requires rotational compensation or transformation of the HRTF to maintain meaningful state information of the spatial information captured by microphone array 305. Accordingly, in process block 435, compute module 325 applies the appropriate rotational correction (e.g., transformation matrix) to compensate for the new positions of each microphone 310. Again, in one embodiment, input from IMU may be used to apply an instantaneous transformation and acoustical beamforming techniques may be used when output from the IMU is deemed unreliable or to apply a periodic recalibration/validation when the user talks. In the case of using acoustical beamforming to determine the angular position of microphone array 305, the maximum number of detents in the rotary interface is related to the number of microphones 310 in microphone array 305 to enable angular position disambiguation for each of the detents using acoustical beamforming.
In a process block 440, the audio data and/or spatial information captured by microphone array 305 may be used by compute module 325 to apply various audio processing functions (or implement other user functions selected in process block 430). For example, the user may rotate electronics package 205 to designate an angular direction for acoustical beamforming. This angular direction may be selected relative to the user's front to position a null 125 (for selectively muting an unwanted sound) or a maxima lobe 130 (for selectively amplifying a desired sound). Other audio functions may include filtering spectral components to enhance a conversation, adjusting the amount of active noise cancellation, adjusting perceptual transparency, etc.
In a process block 445, one or more of the audio signals captured by microphone array 305 are intelligently combined to generate an audio signal for driving speaker(s) 320 (process block 450). The audio signals output from microphone array 305 may be combined and digitally processed to implement the various processing functions. For example, compute module 325 may analyze the audio signals output from each microphone 310 to identify one or more “lucky microphones.” Lucky microphones are those microphones that due to their physical position happen to acquire an audio signal with less noise than the others (e.g., sheltered from wind noise). If a lucky microphone is identified, then the audio signal output from that microphone 310 may be more heavily weighted or otherwise favored for generating the audio signal that drives speaker 320. The data extracted from the other less lucky microphones 310 may still be analyzed and used for other processing functions, such as localization.
In one embodiment, the processing performed by compute module 325 may preserve the user's natural HRTF thereby preserving their normal sense of spaciousness including a sense of the size and nature of the space around them as well as the ability to localize the physical direction from where the original environmental sounds originated. In other words, the user will be able to identify the directional source of sounds originating in their environment despite the fact that the user is hearing a regenerated version of those sounds emitted from speaker 320. The sounds emitted from speaker 320 recreate the spaciousness of the original environmental sounds in a way that the user's mind is able to faithfully localize the sounds in their environment. In one embodiment, reassertion of the natural HRTF is a calibrated feature implemented using machine learning techniques and trained neural networks. In other embodiments, reassertion of the natural HRTF is implemented via traditional signal processing techniques and some algorithmically driven analysis of the listener's original HRTF or outer ear morphology. Regardless, a rotational correction can be applied to the audio signals captured by microphone array 305 by compute module 325 to compensate for rotational variability in microphone array 305.
The electronics may be disposed on one side, or both sides, of main circuit board 510 to maximize the available real estate. Housing 515 provides a rigid mechanical frame to which the other components are attached. Cover 525 slides over the top of housing 515 to enclose and protect the internal components. In one embodiment, a capacitive touch sensor is disposed on housing 515 beneath cover 525 and coupled to the electronics on main circuit board 510. Cover 525 may be implemented as a mesh material that permits acoustical waves to pass unimpeded and is made of a material that is compatible with capacitive touch sensors (e.g., non-conductive dielectric material).
As illustrated in
In a process 705, the user is instructed to acquire one or more profile pictures of their head including their ear and mouth. The profile picture may be acquired by another individual or as a selfie with a smartphone from an outstretched arm position. A smartphone application may be implemented to facilitate the calibration processes. In a process 710, a first ear-to-mouth angular offset is computed by analyzing the acquired profile pictures. The graphical computation may be performed on the user's smartphone, or in the cloud. For example, neural networks may be used to identify the centroids of the ear and mouth in the profile pictures and ray trace a line between the centroids from which an ear-to-mouth angular offset may be computed. Other image analysis techniques may be implemented.
Other techniques may be used in addition to (or alternative to) acquiring a profile picture. For example, a reference mark 103 (see
In a process block 730, the user is instructed to make sounds with their voice. Sounds may include talking, singing, humming, or otherwise. In one embodiment, the user may be instructed to read a passage displayed on their smartphone. Compute module 325 may monitor internal microphone 355 to determine when the user is speaking (decision block 740). In yet another embodiment, internal microphone 355 may be cross-correlated with the audio captured by microphone array 305 to disambiguate the user's voice from other external noise.
Once it is determined that the user sounds are being received, compute module 325 performs an initial voice direction discovery with microphone array 305 to identify direction of incidence 155 of the user's voice (process block 745). The voice direction discovery routine is described in greater detail in connection with
In a process block 805, compute module 325 monitors internal microphone 355 (or 213) and also optionally monitors sensors 335. Since external noise sources are muted or attenuated for internal microphone 355 due to the design of ear device 100 and the placement of internal microphone 355, monitoring internal microphone 355 helps determine when the user is making vocal noises (e.g., talking, singing, humming, etc.) versus other external noise sources. Distinguishing vocal noises of the user from external noises is important so that voice direction discovery is correctly performed on the user's voice and not erroneously performed on those external noise sources. The IMU within sensors 335 may also be monitored to identify scenarios where the IMU data should not be considered, or at least disfavored, for identifying rotational motion of rotatable component 102. For example, IMU output may be analyzed to identify the rotational position of rotatable component 102 when the user is holding their head level with little or no motion. However, if the IMU data suggests the user is performing vigorous activity or perhaps not holding their head level, then compute module 325 should rely more heavily upon voice direction discovery in lieu of the IMU data. Additionally, IMU data may be used to sense and identify a rapid rotational motion of rotatable component 102, suggesting that the user has rotated microphone array 305 and thus necessitating execution of a voice direction discovery routine to determine the new rotational position of microphone array 305. In scenarios where compute module 325 includes a trained neural network, both the IMU data and internal microphone data may provide relevant data for determining when voice direction discovery is ripe for execution (decision block 810). Determining that the IMU data has fallen within prescribed ranges may also be a factor for determining when to or when not to commence voice direction discovery.
In a decision block 815, the level of internal microphone 355 is monitored for reaching a threshold level or volume. Once the threshold level is reached, voice direction discovery can commence. The voice direction discovery routine may be implemented using a variety of one or more different techniques (e.g., options A, B, and/or C). In a process block 820 (option A), the relative times of arrival of sounds across microphone array 305 are analyzed. The arrival time differentials are indicative of direction of incident 155 of the user's voice 150 as microphones that are further from the user's mouth will receive the audio signal slightly delayed relative to microphones that are closer. In a process block 825 (option B), the sound amplitudes across microphone array 305 are analyzed. Again, the differentials in amplitude across microphone array 305 may also be indicative of direction of incidence 155. In a process block 830 (option C), microphone array 305 is beamformed (adjust position of lobs or nulls) to determine the beamform solution that maximizes or minimizes reception of the user's voice (process block 835). For example, a fixed set of beamforming solutions each pointing in a different direction may be analyzed to see which solution provides the greatest and/or least cross-correlation with the audio being captured by internal microphone 355. In process block 840, one or more of the various voice direction discovery options A, B, C (or otherwise) are analyzed, in isolation or collectively, to determine direction of incidence 155 of the user's voice, which correlates to the rotational position of microphone array 305.
In process block 845, ear-to-mouth angular offset 145 is applied to the rotational position, and then this offset value is used to select a rotational correction to apply to the audio signals captured by microphone array 305 (process block 850). The rotational correction may be a transformation matrix, a correction filter, a selection of a particular set of correction coefficients, a rotational remapping of microphone positions, or otherwise.
The processes explained above are described in terms of computer software and hardware. The techniques described may constitute machine-executable instructions embodied within a tangible or non-transitory machine (e.g., computer) readable storage medium, that when executed by a machine will cause the machine to perform the operations described. Additionally, the processes may be embodied within hardware, such as an application specific integrated circuit (“ASIC”) or otherwise.
A tangible machine-readable storage medium includes any mechanism that provides (i.e., stores) information in a non-transitory form accessible by a machine (e.g., a computer, network device, personal digital assistant, manufacturing tool, any device with a set of one or more processors, etc.). For example, a machine-readable storage medium includes recordable/non-recordable media (e.g., read only memory (ROM), random access memory (RAM), magnetic disk storage media, optical storage media, flash memory devices, etc.).
The above description of illustrated embodiments of the invention, including what is described in the Abstract, is not intended to be exhaustive or to limit the invention to the precise forms disclosed. While specific embodiments of, and examples for, the invention are described herein for illustrative purposes, various modifications are possible within the scope of the invention, as those skilled in the relevant art will recognize.
These modifications can be made to the invention in light of the above detailed description. The terms used in the following claims should not be construed to limit the invention to the specific embodiments disclosed in the specification. Rather, the scope of the invention is to be determined entirely by the following claims, which are to be construed in accordance with established doctrines of claim interpretation.
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