Abstract: Systems and methods for interrupting disclosure of sensitive information are described. Sensitive information data associated with a user is maintained. A primary device detects commencement of a voice input to a secondary device. As the voice input is detected by the primary device, the voice input is analyzed to determine the content of the voice input. The content is compared to the sensitive information data to determine whether the voice input contains sensitive information. When the primary device determines the voice input contains sensitive information, a speaker of the primary device is controlled to generate a noise canceling signal which interrupts receipt of further sensitive information by the secondary device.

Abstract: A method for authenticating a user of an electronic device is disclosed. The method comprises: responsive to detection of a trigger event indicative of a user interaction with the electronic device, generating an audio probe signal to play through an audio transducer of the electronic device; receiving a first audio signal comprising a response of the user's ear to the audio probe signal; receiving a second audio signal comprising speech of the user; and applying an ear biometric algorithm to the first audio signal and a voice biometric algorithm to the second audio signal to authenticate the user as an authorised user.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media. One method includes: receiving a request associated with an account of a blockchain-based application for collecting a monetary award issued in an order of a court; determining a creditor, a debtor, and an amount of the monetary award; determining that the account is associated with the creditor based on data recorded on the blockchain; identifying, based on the data, a payment account of the creditor and one or more payment accounts of the debtor with an aggregated balance greater than or equal to the amount of the monetary award; transferring the amount of the monetary award from the one or more payment accounts of the debtor to the payment account of the creditor; and recording a verified time stamp representing a time the amount of the monetary award is transferred.

Abstract: A building management system (BMS) includes a user access point configured to receive a user input corresponding to the BMS. The system includes at least one building subsystem in communication with the user access point and configured to control subsystem equipment in response to the user input. Additionally, the system includes a controller configured to: receive the user input, and receive access point data. The controller is further configured to compare the user input and access point data to a user profile and/or an equipment profile. Additionally, the controller is configured to determine a safety value using the comparison, and determine if the safety value is outside of a predetermined safety range. If the safety value is outside of the predetermined safety range, the controller is configured to initiate a verification process.

Abstract: A voice command identification method for an electronic device having a microphone matrix is provided. The method includes: obtaining a plurality of sound signals from the microphone matrix; executing a voice purify operation on the sound signals to obtain a purified sound signal and identifying a target voice signal from the purified sound signal; calculating a compound speech feature data corresponding to the target voice signal through a compound speech recognition model; comparing the compound speech feature data with a plurality of reference speech feature data in the speech feature database, so as to determine a target command mapped to the target voice signal; and executing the target command.

Abstract: Methods and systems for providing security and verifying a human user and/or an authorized user are described. A system may include a processor and a non-transitory, processor-readable storage medium. The non-transitory, processor-readable storage medium may include one or more programming instructions that, when executed, cause the processor to receive a request to access a secured resource, provide a verification challenge to a user via a user interface, receive at least one input from the user in response to the verification challenge, and determine that the at least one input corresponds to at least one parameter indicative of a human user. The verification challenge may include a game.

Abstract: A method for recognising at least one of a non-verbal sound event and a scene in an audio signal comprising a sequence of frames of audio data, the method comprising: for each frame of the sequence: receiving at least one sound class score, wherein each sound class score is representative of a degree of affiliation of the frame with a sound class of a plurality of sound classes; for a sound class score of the at least one sound class scores: determining a confidence that the sound class score is representative of a degree of affiliation of the frame with the sound class by processing a value for a property associated with the frame, wherein the value is processed using a learned model for the property; adjusting the sound class score for the frame based at least on the determined confidence.

Abstract: A sound-source-direction determining apparatus includes a processor that updates a reference threshold such that the reference threshold increases as a sound pressure difference increases, the sound pressure difference being a difference between sound pressure of a certain frequency component of sound acquired by the first microphone and sound pressure of the certain frequency component of the sound acquired by the second microphone when the synthesized sound is output from the speaker and determines a direction in which a sound source of sound is located, based on comparison between the reference threshold and a sound pressure difference between sound pressure of a certain frequency component of the sound acquired by the first microphone and sound pressure of the certain frequency component of the sound acquired by the second microphone when the synthesized sound is not output from the speaker.

Abstract: Disclosed herein are embodiments of systems and methods for zero-knowledge multiparty secure sharing of voiceprints. In an embodiment, an illustrative computer may receive, through a remote server, a plurality of encrypted voiceprints. When the computer receives an incoming call, the computer may generate a plaintext i-vector of the incoming call. Using the plaintext i-vector and the encrypted voiceprints, the computer may generate one or more encrypted comparison models. The remote server may decrypt the encrypted comparison model to generate similarity scores between the plaintext i-vector and the plurality of encrypted voiceprints.

Abstract: A method and apparatus are disclosed herein for controlling an ultrasound machine using one or more touchless inputs. In one embodiment, the method for controlling operation of the ultrasound machine comprises obtaining one or more touchless inputs; determining one or more operations to control the ultrasound machine based on the one or more touchless inputs and machine state of the ultrasound machine; and controlling the ultrasound machine using the one or more operations.

Abstract: A dialogue system is provided to assist a user while minimizing distraction and achieve safe driving by adjusting a level of a dialogue service based on a dialogue with the user in a vehicle driving environment and multiple kinds of information including vehicle state information, driving environment information, and user information, and a vehicle having the dialogue system and a dialogue service processing method is provided.

Abstract: Systems and methods are provided for use in enhancing security associated with services related to payment or banking accounts, in connection with communication between consumers and consumer service call centers associated with the accounts. One exemplary method includes receiving, at a computing device, a request to authenticate a consumer to a payment or banking account from a call center associated with consumer services for the account, and soliciting a biometric from the consumer. The method also includes receiving biometric data from a communication device associated with the consumer relating to the solicited biometric, and confirming the received biometric data based on reference biometric data for the consumer. The method then further includes transmitting an authentication confirmation to the call center, when the received biometric data is confirmed, whereby the call center is able to proceed in providing the consumer services to the consumer with or without security questions.

Abstract: An electronic device and method are disclosed herein. The electronic device includes a network interface and processor. The processor implements the method, including receiving a voice input through a network interface as transmitted from a first external device, including a request to execute a function using at least one application which is not indicated in the voice input, extracting a first text from the voice input by executing automatic speech recognition (ASR), when the at least one application is identified based on the first text, transmitting, through the network interface to the first external device, second data associated with the identified at least one application for display by the first external device, and when the at least one application is not identified based at least in part on the first text, reattempting identification of the at least one application by executing natural language understanding (NLU) on the first text.

Abstract: The present disclosure discloses a method and apparatus for pushing information.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving a complex audio signal which includes an intended audio signal and at least one interfering audio signal. Moreover, the intended audio signal is a voice-based command originating from a user. Information which corresponds to the at least one interfering audio signal is also received. The received information is used to identify portions of the complex audio signal as being the at least one interfering audio signal. Furthermore, the identified portion of the complex audio signal is removed from the complex audio signal, and a remaining portion of the complex audio signal is output.

Abstract: An information processing apparatus that detects a voice command via a microphone in order to activate the device and execute certain applications. The apparatus comprises a digital signal processor (DSP) and a host controller which are responsible for processing the voice commands. The DSP recognizes and processes voice commands intermittently while the host processor is in a sleep state, thereby reducing the overall power consumption of the apparatus. Further, when the DSP is configured to recognize voice commands intended only to activate the device, a memory having a sufficiently lower storage capacity suffices.

Abstract: Blockchain-controlled and location-validated locking systems and methods are described. A method includes maintaining state information for a lock, where the first state of the lock corresponds to an open state and the second to a locked state. The method further includes receiving a current location of a device associated with a person, authorized to change a state of the lock, attempting to change a state of the lock and a current location of the lock. The method further includes receiving a digital signature from the device. The method further includes automatically transmitting a control signal to the lock to change the state of the lock only when the current location of the person is determined to be the same as the current location of the lock and a valid proof of work is performed by a miner associated with a blockchain configured to manage transactions corresponding to the lock.

Abstract: A dialogue system, a vehicle and a method for controlling the vehicle is disclosed. The method for controlling the vehicle includes: acquiring an utterance and a speech pattern by recognizing a speech when a speech of a plurality of speakers is input through a speech input device; classifying dialogue contents for each speaker based on the acquired utterance and speech pattern; acquiring a relationship between the speakers based on the acquired utterance; understanding an intention and a context for each speaker based on the acquired relationship between the speakers and the acquired dialogue content for each speaker determining an action corresponding to the acquired relationship and the acquired intention and context for each speaker, and outputting an utterance corresponding to the determined action; generating a control command corresponding to the determined action; and controlling a load based on the generated control command.

Abstract: Hardware and/or software systems, devices, networks, and methods of the present invention enable increased levels of security and increase resistance to unauthorized access to secure systems by performing identity recognition and verification based on vocal spectrum analysis. Enrollment and verification processes enable a score to be ascribed to access attempts by person, provide spoof identification, and associate potential relatives of enrolled speakers. The present invention may be employed across a wide range of applications including voice login for mobile phone, tablets, laptops, etc., smartcards for various systems and devices, and software applications running on the devices.

Abstract: Among other things, requests are received from voice assistant devices expressed in accordance with different corresponding protocols of one or more voice assistant frameworks. Each of the requests represents a voiced input by a user to the corresponding voice assistant device. The received requests are re-expressed in accordance with a common request protocol. Based on the received requests, responses to the requests are expressed in accordance with a common response protocol. Each of the responses is re-expressed according to a protocol of the framework with respect to which the corresponding request was expressed. The responses are sent to the voice assistant devices for presentation to the users.

Abstract: An electronic apparatus is provided. The electronic apparatus according to an embodiment includes an audio input unit configured to receive sound sources from different positions and generate a plurality of voice signals, a pre-processor configured to perform pre-processing of the plurality of voice signals, and a voice recognition unit configured to perform voice recognition using the plurality of voice signals pre-processed by the pre-processor, and in response to a predetermined trigger being detected as a result of the voice recognition, generate trigger information, wherein the pre-processor is further configured to receive feedback on the trigger information generated by the voice recognition unit, change a pre-processing method according to the trigger information, process the plurality of voice signals using the changed pre-processing method, and generate enhanced voice signals.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting an eligibility value for transmitting a digital component. In one aspect, a computing system includes a server for identifying opportunities to transmit digital components to client devices. The server determines a first probability of a given outcome occurring following user interaction with the digital component when the digital component is transmitted to the client device. The server determines a second probability of the given outcome occurring if the digital component is not transmitted to the client device. The server generates an outcome incrementality factor for the digital component, including determining a ratio of the first probability relative to the second probability, and triggers adjustment of an eligibility value based on the outcome incrementality factor. The server then controls transmission of the digital component to the client device using the adjusted eligibility value.

Abstract: Systems and methods are described to notify an author that suggested content is available. An author-assistance tool is instantiated with a document processor to perform research to suggest content for a document being edited at the document processor. A user interaction relating to a document is received via the document processor, and the author-assistance tool generates suggested content for the document when the author has intent for content suggestion or the document has a document type that is on a list of document types for which a content suggestion should be made. The author-assistance tool then determines that the suggested content meets a pre-determined quality threshold, and generates, via the user interface of the document processor, a notification to the author that the suggested content is available.

Abstract: An audio/video stream generated by a target object to be authenticated is obtained. The target object is associated with a user. A determination is made whether a lip reading component and voice component in the audio/video stream are consistent. In response to determining that the lip reading component and voice component are consistent, voice recognition is performed on an audio stream in the audio/video stream to obtain voice content. The voice content is used as an object identifier of the target object. A model physiological feature corresponding to the object identifier is obtained from object registration information. Physiological recognition is performed on the audio/video stream to obtain a physiological feature of the target object. The physiological feature of the target object is compared with the model physiological feature to obtain a comparison result. If the comparison result satisfies an authentication condition, the target object is authenticated.

Abstract: A method and apparatus of recognizing a field of semantic parsing information, a device and a readable medium. The method includes: obtaining at least one preset keyword extracting pattern which is in a preset field and used to parse user-input speech data to generate semantic parsing information, each of the at least one preset keyword extracting pattern; obtaining subject weights of keywords according to importance degree identifiers of the keywords in the preset keyword extracting patterns; calculating a subject score of the speech parsing information according to the subject weights of the keywords; recognizing whether the speech parsing information belongs to the preset field according to the subject score of the speech parsing information. The method recognizes the field to which the speech parsing information belongs to ensure correctness of the recognized field, and thereby ensure correctness of operations performed by the App according to the semantic parsing information.

Abstract: A system configured to perform directional speech separation. The system may dynamically associate direction-of-arrivals with one or more audio sources in order to generate output audio data that separates each of the audio sources. The system identifies a target direction for each audio source, dynamically determines directions that are correlated with the target direction, and generates output signals for each audio source. The system may associate individual frequency bands with specific directions based on a time delay detected by two or more microphones. The system may determine a cross-correlation between each direction and the target direction and select directions with strong correlation. The system may generate time-frequency mask data indicating frequency bands corresponding to the directions associated with a particular audio source. Using the mask data, the system generates output audio data specific to the audio source, resulting in directional speech separation between different audio sources.

Abstract: A system for voice-based process management is provided. The system includes a microphone, a speaker, and a computer device in communication with the microphone and the speaker. The computer device includes at least one processor in communication with at least one memory device. The computer device is programmed to (i) receive, via the microphone, one or more audible statements from an individual; (ii) parse the one or more audible statements into discrete data elements to allow normalized semantic definition of the meaning of conveyed information; (iii) compare the conveyed information with stored data; (iv) determine whether there is a discrepancy based on the comparison; and (v) if the determination is that there is a discrepancy, request, via the speaker, a clarification.

Abstract: An information processing apparatus is disclosed which includes a hardware processor configured to, analyze an attention degree of a gaze of a user, on the basis of gaze data in which the gaze of the user is detected, the gaze data being input externally, and assign an important degree according to the attention degree that is analyzed with respect to speech data of the user, the speech data being input externally, and is associated with a time axis that is a same as that of the gaze data to be recorded in a memory.

Abstract: An electronic device can implement a zero-latency digital assistant by capturing audio input from a microphone and using a first processor to write audio data representing the captured audio input to a memory buffer. In response to detecting a user input while capturing the audio input, the device can determine whether the user input meets a predetermined criteria. If the user input meets the criteria, the device can use a second processor to identify and execute a task based on at least a portion of the contents of the memory buffer.

Abstract: A speaker recognition system for authenticating a mobile device user includes an enrollment and learning software module, a voice biometric authentication software module, and a secure software application. Upon request by a user of the mobile device, the enrollment and learning software module displays text prompts to the user, receives speech utterances from the user, and produces a voice biometric print. The enrollment and training software module determines when a voice biometric print has met at least a quality threshold before storing it on the mobile device. The secure software application prompts a user requiring authentication to repeat an utterance based at least on an attribute of a selected voice biometric print, receives a corresponding utterance, requests the voice biometric authentication software module to verify the identity of the second user using the utterance, and, if the user is authenticated, imports the voice biometric print.

Abstract: The invention provides systems, methods and computer program products for providing optimized customer support over data networks. In an embodiment the invention comprises implementing within a processor based computing system, the steps of (i) receiving voice data from a customer through a client terminal, (ii) converting the received voice data to text data, (iii) extracting one or more search parameters from the converted text data, wherein said extracted search parameters are based on at least one of a context or a subject identified from the converted text data, (iv) retrieving from a customer record database, at least one customer record that matches the extracted one or more search parameters, and (v) transmitting the retrieved at least one customer record to a customer service representative terminal for display to a customer service representative.

Abstract: Embodiments facilitating audio source identification are provided. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, an audio signal under inspection; generating, by the device, an image of time-frequency spectrum of low frequency component and high frequency component of the audio signal; and identifying, by the device, a source of the audio signal based on the generated image and one or more patterns of time-frequency spectrum, wherein each of the one or more patterns is corresponding to low frequency feature and high frequency feature of a specific audio source.

Abstract: Methods and devices for creating a sound log of activities may include receiving a detected sound from at least one sensor on a computer device. The methods and devices may include comparing the detected sound to a plurality of audio patterns stored in a sound database. The methods and devices may include identifying a sound event for the detected sound based at least upon the comparison of the detected sound to the plurality of audio patterns. The methods and devices may include identifying context information that provides a context for the sound event. The methods and devices may include updating a sound log with the sound event and the context information.

Abstract: A system and method are presented for the synthesis of speech from provided text. Particularly, the generation of parameters within the system is performed as a continuous approximation in order to mimic the natural flow of speech as opposed to a step-wise approximation of the feature stream. Provided text may be partitioned and parameters generated using a speech model. The generated parameters from the speech model may then be used in a post-processing step to obtain a new set of parameters for application in speech synthesis.

Abstract: A device includes a processor configured to extract parameters from an audio signal. The processor is configured to perform liveness verification by determining, based on first parameters and a liveness data model, whether the audio signal corresponds to a first audio type indicating spoken speech, to perform user verification by determining, based on second parameters and a user speech model, whether the audio signal corresponds to speech of a particular user, and to perform keyword verification by determining, based on third parameters and a keyword data model, whether the audio signal corresponds to a particular keyword. The processor is configured to generate an output indicating that user authentication is successful in response to determining that the audio signal corresponds to speech of the particular user, to the particular keyword, and to the first audio type.

Abstract: A sound password unlocking method, comprises unlocking procedures: collecting a sound password signal that the user plays and performing the analog to digital conversion (11); Inputting the converted sound password signal to a reference signal input end of an adaptive noise cancellation module; inputting an original signal to an original signal input end of the adaptive noise cancellation module; producing a first output signal in adaptive noise cancellation (12); Calculating the difference between the first output signal and the original signal (13); Comparing the difference between the first output signal and the original signal with a standard difference; determining the sound password is correct if the two difference values are identical and enabling the motor to drive a lock cylinder to open otherwise no unlock operation executed (14). The sound password unlocking method provided by the present invention, based on adaptive noise cancellation is hard to be cracked, which is reliable and safe.

Abstract: The reliable differentiation of human and artificial talkers is important for many automatic speaker verification applications, such as in developing anti-spoofing countermeasures against replay attacks for voice biometric authentication. A multi-microphone approach may exploit small movements of human talkers to differentiate between a human talker and an artificial talker. One method of determining the presence or absence of talker movement includes monitoring the variation of the inter-mic frequency-dependent phase profile of the received microphone array data over a period of time. Using spatial information with spectral-based techniques for determining whether an audio source is a human or artificial talker may reduce the likelihood of success of spoofing attacks against a voice biometric authentication system. The anti-spoofing countermeasure may be used in electronic devices including smart home devices, cellular phones, tablets, and personal computers.

Abstract: Various examples described herein are directed to systems and methods for managing an interface between a user and a user computing device. The user computing device may determine that an audio sensor in communication with the user computing device indicates a first command in a user voice of the user, where the first command instructs the user computing device to perform a first task. The user computing device may determine that the audio sensor also indicates a first ambient voice different than the user voice and match the first ambient voice to a first known voice. The user computing device may determine that a second computing device associated with the first known voice is within a threshold distance of the user computing device and select a first privacy level for the first task based at least in part on the first known voice.

Abstract: Methods and systems for communicating with a vehicle companion are disclosed. The vehicle companion can include receiving state information about an operator and environmental information about a vehicular environment. A cognitive load and a cognitive requirement can be determined using the state information and the environmental information, respectively. The cognitive load and the cognitive requirement are then compared to determine if an intervention indicator exists. The vehicle companion can then enter into conversation with the operator in response to the intervention indicator, including topics selected based on the operator's personality.

Abstract: Systems and methods for user authentication include a microphone generating a corresponding audio input signal, and a voice processing system operable to identify a pass phrase including human speech in the audio input signal, a voice authentication system operable to extract feature characteristics associated with the identified pass phrase, compare the extracted feature characteristics to user voice features, and determine a confidence level of a voice match. The voice authentication system receives a first acoustic code, compares the first acoustic code to a second acoustic code associated with the user, and determines whether the first acoustic code and second acoustic code match. A user is authenticated if the first acoustic code and second acoustic code match and the confidence level exceeds a threshold value. A user device is operable to prompt the user to speak the pass phrase, generate the acoustic code and output the acoustic code through a speaker.

Abstract: An apparatus that includes a microphone and a processor. The processor is configured to receive, via the microphone, audio comprising voice of a person, and determine whether the received audio is an actual voice or a synthesized voice. The apparatus also provides a first notification indicating that the received audio is the actual voice when the received audio is the actual voice, and provides a second notification indicating that the received audio is the synthesized voice when the received audio is the synthesized voice.

Abstract: A device receives first transaction information associated with a first transaction, and a first transaction account utilized for the first transaction and associated with a first financial institution. The device determines, based on a fraud model, that the first transaction is to be denied due to potential fraud associated with the first transaction account and receives second transaction information associated with a second transaction, and a second transaction account utilized for the second transaction and associated with a second financial institution. The device processes the first transaction information and the second transaction information, with a matching model, to determine whether the first transaction information matches the second transaction information and determines that the first transaction was incorrectly denied when the first transaction information matches the second transaction information within a predetermined threshold.

Abstract: The disclosed computer-implemented method may include establishing and implementing a virtual microphone. The method may include receiving an input specifying a location for a virtual microphone that is configured to capture audio as if located in the specified location. The method may next include initializing physical microphones to begin capturing audio as if located at the specified location. The physical microphones may be electronically or physically oriented to listen from the specified location. The method may then include combining audio streams from the physical microphones to generate a combined audio signal that sounds as if recorded at the specified location. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A semiconductor device according to an embodiment includes a substrate, an ?-ray shielding layer, a first semiconductor chip, and a second semiconductor chip. The ?-ray shielding layer is provided on the substrate. The first semiconductor chip is provided on the ?-ray shielding layer. The second semiconductor chip is provided on the first semiconductor chip, whose operation is controlled by the first semiconductor chip.

Abstract: The present disclosure discloses a method and an apparatus for authenticating a user. A specific embodiment of the method comprises: receiving an authentication request sent by a user terminal, wherein the authentication request comprises a user identification of a user of the user terminal and operation information related to user operation; determining whether the user operation matches a preset to-be-authenticated operation according to the user identification and the operation information; sending voicing material to the user terminal for reading by the user in response to determining that the user operation matches the preset to-be-authenticated operation, so that the user terminal acquires corresponding authentication voice of the user; receiving the authentication voice sent by the user terminal; and authenticating the user according to the user identification and the authentication voice.

Abstract: A computer-implemented technique is described herein for providing a digital content item using a generator component. The generator component corresponds to a sequence-to-sequence neural network that is trained using an adversarial generative network (GAN) system. In one approach, the technique involves: receiving a query from a user computing device over a computer network; generating random information; generating a key term using the generator component based on the query and the random information; selecting at least one content item based on the key term; and sending the content item(s) over the computer network to the user computing device.

Abstract: A method is provided for correcting a dictionary used in a voice processing apparatus. The method includes first extracting a speech of a target speaker from audio collected by a microphone, and estimating a speech phonemic sequence configuring the speech. The method also includes calculating a match degree, using a first dictionary, between the speech phonemic sequence and a first phonemic sequence that corresponds to a first word registered in the first dictionary, and second extracting the first word corresponding to a highest match degree as a spoken word spoken by the target speaker. The method further includes first correcting a second dictionary based on the highest match degree, the second dictionary indicating a relation between a second word and a third word, and second correcting the second dictionary by correcting the relation between the third word matching the spoken word and the second word.

Abstract: An audio assembly includes a microphone assembly, a controller, and a speaker assembly. The microphone assembly detects audio signals. The detected audio signals originate from audio sources located within a local area. Each audio source is associated with a respective beamforming filter. The controller determines beamformed data using the beamforming filters associated with each audio source and a relative contribution of each of the audio sources using the beamformed data. The controller generates updated beamforming filters for each of the audio sources based in part on the relative acoustic contribution of the audio source, a current location of the audio source, and a transfer function associated with audio signals produced by the audio source. The controller generates updated beamformed data using the updated beamforming filters and performs an action (e.g., via the speaker assembly) based in part on the updated beamformed data.

Abstract: Systems and methods for optimizing matched voice biometric passphrases may generate a set of k candidate passphrases; calculate a phonetic content of each candidate passphrase of the set of k candidate passphrases; at least one of during and after a voice biometric enrollment of a user, calculate a user phonetic content of a text-independent voiceprint of the user, wherein the text-independent voiceprint of the user was captured during the voice biometric enrollment; identify a subset of j passphrases from the set of k candidate passphrases, wherein each of the subset of j passphrases meets a match threshold in phonetic content with the voiceprint of the user; one of prior to and during a user authentication, select a first one of the subset of j passphrases; and present the selected first one of the subset of j passphrases to the user for use in the user authentication.

Abstract: The present invention provides a voiceprint recognition method, a device, a storage medium and a background server. The voiceprint recognition method comprises: collecting, by a client, and sending a voice recognition request to the background server, the voice recognition request comprises the user ID and the test voice; receiving the voice recognition request, and determining the voice recognition request to be processed with a message queue and an asynchronous mechanism; acquiring a target voiceprint feature which corresponds to the user ID of the voice recognition request to be processed, and acquiring a test voiceprint feature which corresponds to the test voice of the voice recognition request to be processed; judging whether the target voiceprint feature and the test voiceprint feature correspond to the same user, and outputting the result of the judging to the client; and receiving and displaying, by the client, the result of the judging.