The invention relates to computer-based systems configured for administration of passphrases.
An account holder may use a spoken password to quickly and easily unlock an account. However, the spoken password may be overheard by a person or device nearby the account holder, which may compromise the security of the account. Alternatively, a biometric method of verification may be used in the presence of other people or devices, such as a scan of an account holder's face. However, such biometric methods may be data intensive and subject to high error rates due to variation in an ambient environment in which the biometric data is captured or changes to an account holder's voice or appearance. Further, biometric data may not be readily changed by the account holder, offering the account holder less control over verification than a user-selected password.
In general, this disclosure describes computer-based techniques for administering spoken passphrases. More specifically, the computer-based techniques include administering a spoken passphrase that includes a pattern of audible and inaudible speech segments using acoustic and visual data. This ‘spoken’ passphrase may be a combination of audible and inaudible utterances by a person, as well as synthetic voice and sounds. The synthetic portions may be dynamically generated, recorded, or may be a processed version of the user's utterances. For example, during a particular section of the utterance, the user may indicate that the sound should receive special processing, for example by touching a sensor (such as a soft button on a mobile device, or through a hand signal or other gesture). This processing could be bespoke, and involve notch filters or other alterations of the Fourier spectrum. If desired, the processing can be obvious to humans—e.g. pitch distortion.
A spoken passphrase may include linguistic content, such as words and combinations of words selected by a user, and biometric content, such as biometric data associated with a manner in which the user speaks the words or combination of words. However, spoken passphrases discussed herein may also include non-linguistic, non-biometric pattern content that enables a user to encode an additional level of information into a spoken password.
To administer the spoken patterned passphrase, the disclosed techniques enable a passphrase processing unit running on an administrator computer to generate passphrase data for an account using acoustic data and video data representing a spoken phrase by a speaker. For example, the speaker may speak the passphrase and capture an audio and video recording of the spoken passphrase. This passphrase may include a pattern of speech segments, such as words, syllables, phonemes, allophone, or sounds, that are voiced (i.e. audible) and words, syllables, or movements corresponding to speech segments that are not voiced (i.e. inaudible). For example, the speaker may speak “The quick brown fox jumps over the lazy dog,” with “quick,” “brown,” and “lazy” unvoiced and the remaining words voiced. This pattern of speech segments may represent an additional mechanism for encrypted information in a passphrase that may supplement or replace linguistic or biometric information of a passphrase.
The disclosed techniques may further enable a passphrase administration unit on the administrator computer to receive acoustic and visual data of a spoken phrase by a person attempting to access the account and evaluate whether the spoken phrase includes the pattern of audible and inaudible speech segments associated with the account. In the example above, the person may have overheard the phrase “The fox jumps over the dog” spoken by the speaker and attempted to access the account using this information, only to be denied access to the account due to missing information corresponding to the inaudible words (“quick,” “brown,” and “lazy”). In this way, the techniques discussed herein may enable the administrator computer to administer spoken passphrases with an additional degree of protection than a system that is limited to using linguistic or biometric content in passwords or passphrases.
Further, discloses techniques discussed herein may enable the passphrase administration unit on the administrator computer to vary linguistic content of a passphrase while administering a pattern of a passphrase. For example, rather than a speaker selecting a passphrase, a speaker may select a rule associated with a pattern that may be applied to a generic passphrase, such as “do not voice adjectives” or “do not voice the second, third, and seventh words.” The passphrase administration unit may display the passphrase “The quick brown fox jumps over the lazy dog” and the user may speak the word using the rule associated with the pattern. In this way, the techniques described herein may enable the administrator computer to administer spoken passphrases with varying linguistic content for a higher degree of protection than a system limited to static content in passwords or passphrases.
In one example, this disclosure is directed to a method by one or more processors of a computing device, including receiving acoustic data and visual data representing a spoken phrase by a speaker and determining, based on the acoustic data and visual data representing the spoken phrase, a pattern of audible and inaudible speech segments of the spoken phrase. The method further includes determining that the pattern of audible and inaudible speech segments of the spoken phrase matches a pattern of audible and inaudible speech segments of a passphrase and, in response, authorizing the speaker.
In another example, this disclosure is directed to a computing device comprising a memory and one or more processors in communication with the memory. The one or more processors are configured to receive acoustic data and visual data representing a spoken phrase by a speaker and determine, based on the acoustic data and visual data representing the spoken phrase, a pattern of audible and inaudible speech segments of the spoken phrase. The one or more processors are further configured to determine that the pattern of audible and inaudible speech segments of the spoken phrase matches a pattern of audible and inaudible speech segments of a passphrase and, in response, authorize the speaker.
In a further example, this disclosure is directed to a non-transitory computer-readable storage medium having stored thereon instructions that, when executed, cause one or more processors to receive acoustic data and visual data representing a spoken phrase by a speaker and determine, based on the acoustic data and visual data representing the spoken phrase, a pattern of audible and inaudible speech segments of the spoken phrase. The instructions further cause the one or more processors to determine that the pattern of audible and inaudible speech segments of the spoken phrase matches a pattern of audible and inaudible speech segments of a passphrase and, in response, authorize the speaker.
The details of one or more examples of the invention are set forth in the accompanying drawings and the description below. Other features, objects, and advantages of the invention will be apparent from the description and drawings, and from the claims.
User 118 may be any entity that provides passphrase data to administrator 116. In some examples, user 118 may be a customer or account holder of an institution, such as a financial institution, that has an account, such as a financial account, with the institution. To protect the account, user 118 may choose to associate a passphrase with the account.
User 118 may include a remote user computer 120A configured to send, process, and/or transmit data, such as passphrase data, to and from user input devices 122A, user output devices 124A, and administrator network 114. User 118 may include one or more user input devices 122A coupled to remote user computer 120A and configured to receive passphrase data from user 118. For example, to access the account, user 118 may provide a passphrase to the institution through user input device 122A, such as through a keyboard, a camera, a microphone, or any other input device capable of capturing the passphrase data. User input devices 122A may include any device configured to receive passphrase data from user 118, such as a camera for visual data, a microphone for audio data, a keyboard for tactile data, and the like. User 118 may include one or more user output devices 124A coupled to remote user computer 120A and configured to send or display passphrase data to user 118. For example, to indicate successful or unsuccessful access to the account, user 118 may receive a notification through user output device 124A, such as through a display (a cathode ray tube (CRT) monitor, a liquid crystal display (LCD), organic light emitting diode (OLED)), speaker, or any other output device capable of conveying information related to the passphrase data and generating intelligible output to a user. User output devices 124A may include any device configured to send or display passphrase data to user 118, such as a display for visual data, a speaker for acoustic data, and the like. In certain examples, user input device 122A and output device 124A may be a same device. For example, user input device 122A and user output device 124A may be a touch sensitive screen and may present one or more touch sensitive GUI elements. For example, user 118 may be able to interact with user output device 124A as user input device 122A to respond to options displayed on user output device 124A and initiate an action by touching one or more of the touch sensitive GUI elements displayed on user output device 124A. For example, user output device 124A may be a presence-sensitive display that displays a GUI and receives input from user 118 using capacitive, inductive, and/or optical detection at or near the presence sensitive display. Alternatively or in addition, user 118 may be able to interact with user input device 122A to respond to options displayed on user output device 124A and initiate an action by using any suitable input device such as, for example, a keyboard, touchpad, and/or any other suitable input device. Although
Kiosk 126 may be any entity, machine, or facility that is available to a user, such as user 118, to provide passphrase data to administrator 116. In some examples, kiosk 126 may be a remote station, such as an automatic teller machine (ATM) associated with administrator 116. In the example of
Administrator 116 may be any entity that controls passphrase data of user 118. For example, administrator 116 may be an institution through which user 118 holds an account, such that user 118 may entrust administrator 116 with a passphrase of user 118 associated with the account. Administrator 116 may control access to the account data for user 118 based on passphrase data provided to administrator 116. Administrator 116 may include a variety of entities including, but not limited to, financial institutions, merchants, secured facilities, or any other entity that protects access of physical or virtual resources using a secure account.
Remote user computer 120A and/or remote kiosk computer 120B (singularly and collectively referred to respectively as “remote computer 120” and “remote computers 120”) may be configured to receive, process, and/or transmit passphrase data to and from user input device 122A and/or kiosk input device 122B (singularly and collectively referred to respectively as “input device 122” and “input devices 122”) or user output device 124A and/or kiosk output device 124B (singularly and collectively referred to respectively as “output device 124” and “output devices 124”). User 118 may speak a phrase corresponding to a passphrase or attempted passphrase into one or more input devices 122, such as part of a request to access an account or in response to a prompt on output devices 124.
Input devices 122 may be configured to capture acoustic data and visual data representing the spoken phrase by user 118. For example, a microphone may capture the sounds of user 118 speaking the phrase and a camera may capture video or images of the face of user 118 speaking the phrase. In some examples, input device 122 may be a smartphone or other mobile device that may be used in a public location. Remote computers 120 may be configured to send the acoustic data and visual data representing the spoken phrase to administrator computer 108 of administrator 116. In some examples, remote computers 120 may send the acoustic data and visual data as part of a request to set up a passphrase. For example, user 118 may be attempting to set up an account that requires a passphrase. In some examples, remote computer 120 may send the acoustic data and visual data as part of a request to access an account. For example, user 118 may be attempting to access a previously-established account that requires the use of a passphrase.
Administrator 116 includes administrator computer 108 and database 102 in communication with each other via administrator network 114. Administrator network 114 may comprise a private network including, for example, a private network associated with an organization, or may comprise a public network, such as the Internet. Although illustrated in
Database 102 may include user profiles 104 containing passphrase data 106 for each user. Administrator computer 108 is configured to control access to an account of a user, such as user 118, using passphrase data 106 for user 118. Administrator computer 108 may include passphrase processing unit 110 and passphrase administration unit 112. Although
Database 102 may be a data structure for storing data related to the system 100 including user profiles 104. Although illustrated in
Each of user profiles 104 stored in database 102 may be associated with a user and contain passphrase data 106 for the user. Passphrase data 106 may include any passphrase information associated with a previously or potentially spoken passphrase. A spoken passphrase may include any combination of speech segments. A speech segment may include any sound, movement, combination of sounds, combination of movements, or combinations of one or more sounds and one or more movements used to produce speech including, but not limited to, phones, allophones, phonemes, visemes, sounds, syllables, or words, whether uttered or unuttered, that are conveyed by a speaker. For example, a spoken passphrase may include both audible and inaudible speech segments. Passphrase data 106 may include content data, acoustic data, visual data, pattern data, or any other data associated with a spoken passphrase of user 118. In some examples, passphrase data 106 includes passphrase data sent to administrator computer 108 by user 118. For example, passphrase data 106 may include a passphrase provided by user 118. In some examples, passphrase data 106 may include more than one passphrase for a user. For example, passphrase data 106 may include multiple passphrases associated with a user for user profile 104. In some examples, a passphrase may be associated with an account, such that a user with multiple accounts may have multiple passphrases, each passphrase associated with an account.
Passphrase data 106 may include content data representing linguistic content of the spoken passphrase. For example, content data may include data that includes or indicates combinations of words of the spoken passphrase. For example, content data may include an identification and order of the words “the,” “quick,” “brown,” “fox,” “jumps,” “over,” “the,” “lazy,” and “dog” that constitute a spoken passphrase.
Passphrase data 106 may include acoustic data representing acoustic properties of user 118 speaking the spoken passphrase. For example, acoustic data may include an audio recording of user 118 speaking the passphrase, data representing acoustic characteristics or features (e.g., pitch, loudness, etc.) of the spoken passphrase, or any other data corresponding to acoustic properties of the spoken passphrase.
Passphrase data 106 may include visual data representing visual properties of user 118 speaking the spoken passphrase. For example, acoustic data may include a video recording of user 118 speaking the passphrase, data representing visual characteristics or features (e.g., facial feature dimensions or shapes, etc.) of user 118 speaking the spoken passphrase, or any other data corresponding to visual properties of user 118 speaking the spoken passphrase.
Passphrase data 106 may include pattern data representing a pattern of content, acoustic features, visual features, or any combination thereof, of a spoken or generated passphrase. For example, a passphrase may include a variety of linguistic and acoustic elements that may be categorized or parameterized into respective categories or values. These categories or values may form patterns within the passphrase, such that a pattern of the categories or values may be another form of encrypted information available within the passphrase. Linguistic properties, such as categories of information within a language or placements of words within a sentence, may be readily accessible and memorable to a user, such that a pattern using linguistic properties may be easily remembered or used. Acoustic properties, such as speech volume, may be readily controllable by a user, who may facilitate processing of some elements of the data stream, such that a pattern using acoustic properties may be easily rendered.
In some examples, pattern data may include data related to a pattern of audible and inaudible speech segments of a passphrase. For example, some words or syllables of a passphrase may be uttered at or above an audible threshold (e.g., “audible,” parameterized to “1”), while other words, or syllables of the passphrase may be unuttered or uttered below the audible threshold (e.g., “inaudible,” parameterized to “0”). The pattern of these audible and inaudible words or syllables may represent an aspect of encryption of the passphrase, such that a phrase that may match a passphrase in linguistic and biometric content may not match the passphrase in pattern content.
In some examples, in addition or in lieu of the audible threshold, a user input may be used to parameterize a speech segment. For example, a user may push a button or perform some other action while speaking a passphrase that indicates a particular treatment of the speech segments of the passphrase spoken while the particular action was performed. The particular treatment may include, for example a filtering or other form of processing of the particular speech segments. In this way, a user can further pattern a passphrase.
In some examples, the pattern of audible and inaudible speech segments of a passphrase may be specific to a particular passphrase. For example, user 118 may select the passphrase “The [quick] [brown] fox jumps over the [lazy] [[dog,]]” with the single bracketed words inaudible (i.e., mouthed), the unbracketed words audible (i.e., spoken aloud), and the double bracketed word run through a notch filter so some frequencies are removed. As such, the pattern of audible speech segments may be a property of the particular passphrase, along with the actual words and acoustic or visual properties of user 118 producing those spoken words. In some examples, the pattern of audible and inaudible speech segments of a passphrase is generic to the passphrase, such that the pattern may be applied to a variety of passphrases. In the example above, user 118 may select a content-based rule for a passphrase pattern in which adjectives (quick, brown, and lazy) are inaudible, or a non-content-based rule for a passphrase pattern in which the second (quick), third (brown), and seventh (lazy) words are inaudible, and in which the remaining words are audible. As such, the pattern of audible and inaudible speech segments as applied to the generic passphrase may be an encrypted element of the passphrase. In some examples, pattern data may be generated or derived from acoustic data and/or visual data representing a spoken passphrase, such as through pattern recognition. In some examples, pattern data may be received from a speaker, such as in a form of a pattern or rule selection.
Administrator computer 108 may be associated with administrator 116. As illustrated in
In some examples, passphrase processing unit 110 may be configured to generate pattern data associated with user 118 using acoustic and/or visual data from user 118. During generation of a passphrase by user 118, passphrase processing unit 110 may be configured to receive acoustic data and visual data representing the passphrase spoken by user 118. For example, user 118 may generate an audio and video recording of user 118 speaking a passphrase that includes audible and inaudible speech segments, such as by using input devices 122 and remote computer 120.
In some examples, passphrase processing unit 110 may be configured to determine a pattern of audible and inaudible speech segments of the passphrase based on acoustic data representing the passphrase. For example, while certain syllables of the passphrase may be inaudible to a human, such syllables may be capable of detection by a microphone or other sensitive audio sensor. As such, passphrase processing unit 110 may be configured to identify a plurality of speech segments of the passphrase using the acoustic data. For example, passphrase processing unit 110 may determine that a portion of the passphrase is a generic word or syllable, such as by voice change recognition, or that the portion of the passphrase is identified with a particular word or syllable, such as by speech recognition. Passphrase processing unit 110 may be configured to determine whether each speech segment of the plurality of speech segments is an audible or an inaudible speech segment based on whether an acoustic property of the speech segment, such as a magnitude of speech energy, meets an audibility threshold. In some examples, user 118 may select the audibility threshold.
In some examples, passphrase processing unit 110 may be configured to determine a pattern of audible and inaudible speech segments of the passphrase based on both the acoustic data and the visual data representing the passphrase. For example, if a passphrase is spoken or intended to be spoken in a loud environment, inaudible syllables may be difficult or impossible to detect with a desired accuracy using only acoustic data. As such, passphrase processing unit 110 may be configured to determine a presence or content of a plurality of speech segments of the passphrase using the visual data or a combination of the acoustic data and the visual data. For example, passphrase processing unit 110 may determine that a portion of the passphrase is a particular word or syllable, such as by speech recognition using visual features of a speaker's face. Passphrase processing unit 110 may be configured to determine whether each speech segment of the plurality of speech segments is an audible speech segment or an inaudible speech segment based on whether each speech segment identified from the visual data has a corresponding acoustic feature at or above an audibility threshold (i.e., audible) or below the audibility threshold (i.e., inaudible). For example, passphrase processing unit 110 may determine a plurality of syllables using visual data, determine which of the plurality of syllables are audible syllables using acoustic data, and determine that the remaining syllables of the plurality syllables are inaudible syllables.
Passphrase processing unit 110 may be configured to store, in database 102, data representing the pattern of the audible and inaudible speech segments of the passphrase as passphrase data 106 associated with a user profile 104. In some examples, passphrase processing unit 110 may store the pattern as acoustic and visual data in a relatively unprocessed state, such as through audio or video recordings. In some examples, passphrase processing unit 110 may store pattern data that identifies the pattern of audible and inaudible speech segments of the passphrase, such as by storing a sequence of the pattern or a rule associated with the pattern.
In some examples, passphrase processing unit 110 may be configured to receive pattern data associated with user 118 provided by user 118 through a user selection of a pattern. During generation of a passphrase by user 118, passphrase processing unit 110 may be configured to receive pattern data representing a pattern of audible and inaudible speech segments of the passphrase. For example, user 118 may select, such as by using input devices 122 and remote computer 120, a pattern for a passphrase, such as a passphrase that includes a pattern of audible or inaudible speech segments for a particular passphrase or a rule that corresponds to a pattern of audible or inaudible speech segments. In some examples, the pattern of audible and inaudible speech segments of a passphrase is generic to the passphrase, such that the pattern may be applied to a variety of passphrases. For example, in the example above, user 118 may select a passphrase pattern in which adjectives (quick, brown, and lazy) are inaudible, or the second (quick), third (brown), and seventh (lazy) words are inaudible, and the remaining words are audible. Passphrase processing unit 110 may be configured to store, in database 102, the pattern data as passphrase data 106 associated with a user profile 104.
During authentication of a passphrase by user 118, passphrase processing unit 110 may be configured to receive acoustic data and visual data representing a spoken phrase by a speaker. For example, user 118 may send a request from remote computer 120 to access an account. Administrator computer 108 may be configured to process requests for access to an account associated with user profiles 104, such requests including acoustic data and/or visual data representing a spoken phrase. Passphrase processing unit 110 may be configured to determine, based on the acoustic data and/or visual data representing the spoken phrase, a pattern of audible and inaudible speech segments of the spoken phrase. For example, as explained above with respect to determining a pattern of audible and inaudible speech segments of a spoken passphrase, passphrase processing unit 110 may be configured to determine a plurality of speech segments of the spoken phrase, determine audible and inaudible speech segments of the spoken phrase, and determine a pattern of the audible and inaudible speech segments of the spoken phrase.
Passphrase administration unit 112 may be configured to determine whether a pattern of audible and inaudible speech segments of the spoken phrase matches a pattern of audible and inaudible speech segments of a passphrase. For example, passphrase administration unit 112 may be configured to retrieve the pattern of audible and inaudible speech segments of the passphrase stored in database 102 based on a user ID or other identification of user 118 attempting to access an account, such as may be provided in the request for access to the account. Passphrase administration unit 112 may be configured to compare the pattern of audible and inaudible speech segments of the passphrase and the pattern of audible and inaudible speech segments of the spoken phrase and determine, based on the comparison of the patterns of audible and inaudible speech segments, whether the patterns of audible and inaudible speech segments match.
Passphrase administration unit 112 may be configured to perform one or more actions in response to determining whether a pattern of audible and inaudible speech segments of a spoken phrase matches a pattern of audible and inaudible syllables of a passphrase. In some examples, passphrase administration unit 112 may authorize the speaker in response to determining that the pattern of audible and inaudible speech segments of the spoken phrase matches the pattern of audible and inaudible speech segments of the passphrase. For example, passphrase administration unit 112 may send an authorization signal to a server that controls access to an account database that permits user 118 to access the account database. Passphrase administration unit 112 may be configured to refrain from authorizing the speaker in response to determining that the pattern of audible and inaudible speech segments of the spoken phrase do not match the pattern of audible or inaudible segments of the passphrase. Once authorized, the speaker may gain access to a secure system, such as an account or physical structure.
While administrative computer 108 may be configured to generate and use pattern data from acoustic and/or visual data for controlling access to an account, administrative computer 108 may also be configured to generate and utilize passphrase data other than pattern data representing a pattern of audible and inaudible speech segments. For example, administrative computer 108 may be configured to use pattern data as one aspect of an authentication process that evaluates content of a passphrase or acoustic and/or visual properties of a speaker of a passphrase to determine whether to authenticate a speaker and permit access to an account.
In some examples, administrator computer 108 may be configured to determine linguistic or content data of a spoken passphrase. For example, passphrase processing unit 110 may be configured to determine a linguistic content of a plurality of audible or inaudible speech segments of the spoken phrase based on the acoustic data and/or the visual data representing the spoken phrase, such as through speech recognition. Passphrase administration unit 112 may be configured to determine whether the plurality of audible or inaudible speech segments of the spoken phrase match a plurality of audible or inaudible speech segments of the passphrase, such that authorization of the speaker may be further based on whether the plurality of audible or inaudible speech segments of the spoken phrase match the plurality of audible or inaudible speech segments of the passphrase.
In some examples, administrator computer 108 may be configured to determine biometric data of a spoken passphrase. For example, passphrase processing unit 110 may be configured to determine one or more identifying characteristics of the speaker based on the acoustic data and/or the visual data representing the spoken phrase. Passphrase administration unit 112 may be configured to determine whether the one or more identifying characteristics of the speaker match one or more identifying characteristics of a speaker of the passphrase, such that authorization of the speaker may be further based on whether the one or more identifying characteristics of the speaker match the one or more identifying characteristics of the speaker of the passphrase.
Administrator computer 108 may include one or more interfaces 202 for allowing passphrase processing unit 110 and passphrase administration unit 112 to communicate with one or more databases (e.g., database 102), servers, devices and/or networks via one or more networks, e.g. administrator network 114. The one or more interfaces 202 may include one or more network interface cards, such as Ethernet cards, and/or any other types of interface devices that can send and receive information. In some examples, passphrase processing unit 110 and passphrase administration unit 112 utilize the one or more interfaces 202 to communicate with database 102 and/or any other suitable device. Any suitable number of interfaces may be used to perform the described functions according to particular needs.
Administrator computer 108 may include one or more processors 204 configured to implement functionality and/or process instructions for execution within passphrase processing unit 110 and passphrase administration unit 112. Processors 204 may include, for example, microprocessors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and/or equivalent discrete or integrated logic circuitry.
Administrator computer 108 may include memory 206 configured to store information within administrator computer 108. Memory 206 may include a computer-readable storage medium or computer-readable storage device. In some examples, memory 206 may include one or more of a short-term memory or a long-term memory. Memory 206 may include, for example, random access memories (RAM), dynamic random access memories (DRAM), static random access memories (SRAM), magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM), or electrically erasable and programmable memories (EEPROM). In some examples, memory 206 may store logic (e.g., logic of passphrase processing unit 110 and passphrase administration unit 112) for execution by one or more processors 204. In further examples, memory 206 may be used by passphrase processing unit 110 and passphrase administration unit 112 to temporarily store information during program execution.
In operation, passphrase processing unit 110 and passphrase administration unit 112 may be used to control access to an account using a passphrase that includes audible and inaudible speech segments. In the example of
In general, passphrase processing unit 110 may be configured to process passphrase data provided by users 118 and store the processed data in database 102 of
Acoustic processing unit 210 may be configured to receive acoustic data representing a spoken phrase. For example, acoustic processing unit 210 may receive acoustic data from remote computer 120 through interface 202. Acoustic processing unit 210 may be configured to process the acoustic data to extract one or more acoustic features of the acoustic data. For example, acoustic processing unit 210 may be configured to use audio signal processing techniques to extract features such as loudness (e.g. amplitude of energy), pitch (e.g. frequency of energy), and other sound properties that may be collected over a period of time.
In some examples, acoustic processing unit 210 may be configured to identify, based on the one or more acoustic features, a plurality of audible and inaudible speech segments. For example, the one or more acoustic features may indicate one or more boundaries of a syllable, such that acoustic processing unit 210 may be configured to identify the presence of a plurality of syllables. In some examples, acoustic processing unit 210 may be configured to qualitatively determine, based on the acoustic data representing the spoken phrase, a plurality of audible or inaudible speech segments of the spoken phrase. For example, acoustic processing unit 210 may be configured to use acoustic-based speech recognition techniques to characterize the one or more acoustic features into a plurality of syllables corresponding to syllables of speech.
Acoustic processing unit 210 may be configured to measure acoustic properties of the plurality of speech segments that correspond to an audibility of the plurality of speech segments. For each speech segment of the plurality of speech segments identified by acoustic processing unit 210 and/or visual processing unit 212, acoustic processing unit 210 may measure an acoustic property, such as sound pressure or other measure of loudness, of the syllable and determine whether the sound pressure measurement of the speech segment meets or exceeds an audibility threshold, such as a sound pressure threshold corresponding to audibility. Acoustic processing unit 210 may be configured to identify a speech segment as an audible speech segment if the speech segment has a sound pressure measurement greater than or equal to a sound pressure threshold and identify a speech segment as an inaudible speech segment if the speech segment has a sound pressure measurement less than the sound pressure threshold.
Visual processing unit 212 may be configured to receive visual data representing a spoken phrase. For example, visual processing unit 212 may receive visual data from remote computer 120 through interface 202. Visual processing unit 212 may be configured to process the visual data to extract one or more visual features of the visual data. For example, visual processing unit 212 may be configured to use video signal processing techniques to extract features such as geometric features, image transform features, image appearance features, and other properties corresponding to facial features of a speaker that may be collected over a period of time.
Visual processing unit 212 may be configured to identify, based on the one or more visual features, a plurality of speech segments of the spoken phrase. For example, the one or more visual features may indicate one or more boundaries of a syllable, such as consonants bounding vowels, that visual processing unit 212 may be configured to identify the presence of a plurality of syllables. In some examples, visual processing unit 212 may be configured to qualitatively determine, based on the visual data representing the spoken phrase, a plurality of speech segments of the spoken phrase. For example, visual processing unit 212 may be configured to use visual-based speech recognition techniques to characterize the one or more visual features into a plurality of syllables corresponding to syllables of speech.
Pattern processing unit 214 may be configured to determine, based on a plurality of audible and inaudible speech segments, the pattern of audible and inaudible speech segments. For example, pattern processing unit 214 may treat the audible and inaudible syllables as parameterized values and generate a string or other ordered sequence based on the parameterized values.
In some examples, pattern processing unit 214 may be configured to receive pattern data representing the pattern of audible and inaudible speech segments. For example, pattern processing unit 214 may receive the pattern data from remote computer 120, such as a pattern selection.
Pattern processing unit 214 may be configured to store the generated or received pattern data as passphrase data 106 to a user profile 104 of database 102. For example, a component of passphrase processing unit 110 or passphrase administration unit 112 may be configured to extract an identity of user 118 and store the pattern data to user profile 104 associated with user 118.
In general, passphrase administration unit 112 may be configured to administer the passphrase data provided by users 118 and stored in database 102 of
Passphrase comparison unit 216 may be configured to receive a request to access an account. In some examples, the request may include acoustic and/or visual data representing a spoken phrase and an indication of an identity or account associated with user profile 104. In some examples, passphrase comparison unit 216 may send a follow-up prompt for the acoustic or visual data, such as by starting an audio or video capture application, or for the indication of the identity or account associated with user profile 104. The acoustic and/or visual data may represent a spoken phrase that includes a plurality of audible and inaudible speech segments. Passphrase comparison unit 216 may send the acoustic data and/or visual data representing the spoken phrase to passphrase processing unit 110 for processing. Once the acoustic data and/or visual data has been processed, passphrase comparison unit 216 may receive pattern data based on the acoustic data and/or visual data from passphrase processing unit 210. Passphrase comparison unit 216 may be configured to retrieve passphrase data 106 from user profile 104 indicated by the identity or account indicated by the request to access the account.
Passphrase comparison unit 216 may be configured to determine whether a pattern of the plurality of audible or inaudible speech segments of the spoken phrase match a pattern of a plurality of audible or inaudible speech segments of the passphrase. Passphrase comparison unit 216 may be configured to compare the pattern of audible and inaudible speech segments of the passphrase and the pattern of audible and inaudible speech segments of the spoken phrase and determine, based on the comparison of the patterns of audible and inaudible speech segments, whether the patterns of audible and inaudible speech segments match. For example, passphrase comparison unit 216 may determine any differences between the pattern of audible and inaudible speech segments of the passphrase and the pattern of audible and inaudible speech segments of the spoken phrase and determine whether those differences exceed a threshold.
Authorization unit 218 may be configured to perform one or more actions in response to determining whether a pattern of audible and inaudible speech segments of a spoken phrase matches a pattern of audible and inaudible speech segments of a passphrase. In some examples, authorization unit 218 may be configured to authorize the speaker in response to determining that the pattern of audible and inaudible speech segments of the spoken phrase matches the pattern of audible and inaudible speech segments of the passphrase. For example, authorization unit 218 may be configured to send an authorization signal to a server that controls access to a secure system, such as an account database that permits user 118 to access the requested account of the account database. Authorization unit 218 may be configured to refrain from authorizing the speaker in response to determining that the pattern of audible and inaudible speech segments of the spoken phrase do not match the pattern of audible or inaudible speech segments of the passphrase. For example, authorization unit 218 may be configured to send a signal to remote computer 120 to display a notification to user 118 on output device 124 that request is denied. In addition, or as an alternative, to account authorization, authorization unit 218 may be configured to perform one or more other types of authorization for a variety of purposes or in a variety of secure systems, such as financial or non-financial transaction authorization, physical entry authorization, or authorization to access any other secure process or system that may be secured by a passphrase.
Passphrase selection unit 220 may be configured to administer pattern data to a passphrase. Passphrase selection unit 220 may be configured to receive a request from user 118 to access an account of user 118 and select a passphrase from a plurality of possible passphrases. In some examples, passphrase selection unit may be configured to randomly select the passphrase of the plurality of possible passphrases. For example, user 118 may not have prior knowledge of the particular passphrase of the plurality of possible passphrases. Passphrase selection unit 220 may be configured to send an indication of the passphrase to user 118. For example, passphrase selection unit 220 may be configured to send a signal to remote computer 120 to present the passphrase on output device 124 to user 118. In this way, administrator computer 108 may administer spoken passphrases with varying linguistic content for a higher degree of protection than a system limited to static content in passwords or passphrases
Administrator computer 108 may receive the acoustic data and visual data representing the passphrase (330). Administrator computer 108 may determine, based on the acoustic data and visual data representing the passphrase, the pattern of audible and inaudible speech segments of the passphrase (340). In the example of
Administrator computer 108 may receive pattern data representing the pattern of audible and inaudible speech segments of the passphrase (430). Administrator computer 108 may store, in a database, the pattern data (440). For example, database 102 may include a user profile 104 that includes passphrase data 106. Administrator computer 108 may store the pattern data in passphrase data 106 associated with a user profile 104 of user 118.
Administrator computer 108 may select the passphrase from a plurality of possible passphrases (530). In the example of
Administrator computer 108 may receive the acoustic data and visual data representing the spoken phrase by the speaker (630). Administrator computer 108 may determine, based on the acoustic data and visual data representing the spoken phrase, a pattern of audible and inaudible speech segments of the spoken phrase (640). Administrator computer 108 may process the visual data to extract one or more visual features of the visual data and identify, based on the one or more visual features, a plurality of speech segments of the spoken phrase. For example, administrator computer 108 may analyze visual data of a mouth of user 118 shaping the passphrase and determine the presence or identity of the syllables of the passphrase. Administrator computer 108 may process the acoustic data to extract one or more acoustic features of the acoustic data and identify, based on the one or more acoustic features, a plurality of audible and inaudible speech segments of the plurality of speech segments of the spoken phrase. For example, administrator computer 108 may analyze acoustic data of user 118 reciting the passphrase and determine the presence or identity of the syllables of the passphrase.
In some examples, administrator computer 108 may also analyze linguistic or biometric content of the passphrase. In some examples, administrator computer 108 may determine, based on either or both the acoustic data or the visual data representing the spoken phrase, the plurality of audible or inaudible speech segments of the spoken phrase. For example, administrator computer 108 may determine a linguistic content of each word of the passphrase. In some examples, administrator computer 108 may determine based on at least one of the acoustic data or the visual data representing the spoken phrase, one or more identifying characteristics of the speaker. For example, administrator computer 108, administrator computer 108 may determine a rate of speech, a pitch of speech, or other acoustic characteristics of user 118 that may be used to identify user 118.
Administrator computer 108 may determine, based on the plurality of audible and inaudible speech segments, the pattern of audible and inaudible speech segments. Administrator computer 108 may determine whether the pattern of audible and inaudible speech segments of the spoken phrase matches a pattern of audible and inaudible speech segments of a passphrase (650).
In some examples, administrator computer 108 may also analyze linguistic or biometric content of the passphrase. In some examples, administrator computer 108 may determine whether the plurality of audible or inaudible speech segments of the spoken phrase match a plurality of audible or inaudible speech segments of the passphrase. For example, administrator computer 108 may determine whether the actual syllables of the spoken phrase match the syllables of the passphrase based on the content of the syllables. In some examples, administrator computer 108 may determine whether the one or more identifying characteristics of the speaker match one or more identifying characteristics of a speaker of the passphrase. For example, administrator computer 108 may determine whether the acoustic characteristics of the spoken phrase match the acoustic characteristics of the passphrase.
Administrator computer 108 may authorize the speaker in response to determining that the pattern of audible and inaudible speech segments of the spoken phrase matches the pattern of audible and inaudible speech segments of the passphrase (660). Administrator computer 108 may send a notification of authorization to the speaker (670). Remote computer 120 may receive the notification of authorization to the speaker (680).
It is to be recognized that depending on the example, certain acts or events of any of the techniques described herein can be performed in a different sequence, may be added, merged, or left out altogether (e.g., not all described acts or events are necessary for the practice of the techniques). Moreover, in certain examples, acts or events may be performed concurrently, e.g., through multi-threaded processing, interrupt processing, or multiple processors, rather than sequentially.
In one or more examples, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over a computer-readable medium as one or more instructions or code, and executed by a hardware-based processing unit. Computer-readable media may include computer-readable storage media, which corresponds to a tangible medium such as data storage media, or communication media including any medium that facilitates transfer of a computer program from one place to another, e.g., according to a communication protocol. In this manner, computer-readable media generally may correspond to (1) tangible computer-readable storage media which is non-transitory or (2) a communication medium such as a signal or carrier wave. Data storage media may be any available media that can be accessed by one or more computers or one or more processors to retrieve instructions, code and/or data structures for implementation of the techniques described in this disclosure. A computer program product may include a computer-readable medium.
By way of example, and not limitation, such computer-readable storage media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage, or other magnetic storage devices, flash memory, or any other medium that can be used to store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if instructions are transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. It should be understood, however, that computer-readable storage media and data storage media do not include connections, carrier waves, signals, or other transitory media, but are instead directed to non-transitory, tangible storage media. Disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
Instructions may be executed by one or more processors, such as one or more digital signal processors (DSPs), general purpose microprocessors, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other equivalent integrated or discrete logic circuitry, as well as any combination of such components. Accordingly, the term “processor,” as used herein may refer to any of the foregoing structures or any other structure suitable for implementation of the techniques described herein. In addition, in some aspects, the functionality described herein may be provided within dedicated hardware and/or software modules. Also, the techniques could be fully implemented in one or more circuits or logic elements.
The techniques of this disclosure may be implemented in a wide variety of devices or apparatuses, including a wireless communication device or wireless handset, a microprocessor, an integrated circuit (IC) or a set of ICs (e.g., a chip set). Various components, modules, or units are described in this disclosure to emphasize functional aspects of devices configured to perform the disclosed techniques, but do not necessarily require realization by different hardware units. Rather, as described above, various units may be combined in a hardware unit or provided by a collection of interoperative hardware units, including one or more processors as described above, in conjunction with suitable software and/or firmware.
Various examples have been described. These and other examples are within the scope of the following claims.
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