Abstract: Aspects of the disclosure relate to voice biometric authentication in a virtual assistant. In some embodiments, a computing platform may receive, from a user device, an audio file comprising a voice command to access information related to a user account. The computing platform may retrieve one or more voice biometric signatures from a voice biometric database associated with the user account, and apply a voice biometric matching algorithm to compare the voice command of the audio file to the one or more voice biometric signatures to determine if a match exists between the voice command and one of the one or more voice biometric signatures. In response to determining that a match exists, the computing platform may retrieve information associated with the user account, and then send, via the communication interface, the information associated with the user account to the user device.

Abstract: A method for associating a leak detector with an appliance includes receiving data from a leak detector; detecting a sound signature of the appliance based at least in part on the sound signal; identifying the appliance as one of a plurality of appliance types; and associating the leak detector with the one of the plurality of appliance types.

Abstract: Systems and methods are provided for optimizing and securing an enterprise voice service accessed by an external voice assistant device. An enterprise voice assistant installed on a client device acts as an enterprise voice service for an external voice assistant device. The enterprise voice assistant receives a voice query from the external voice assistant device. The voice query is processed using a machine learning model to extract an intent and at least one slot. The extracted intent and at least one slot are used to determine whether a response to the voice query can be generated using local enterprise data that was previously received and stored by the client device from a management server. The response is generated based on the determination by using the local enterprise data or by sending the extracted intent and at least one slot to and receiving the response from the management server.

Abstract: A method of performing speech recognition, comprises, at a first device: receiving an audio signal representing speech; performing a first data integrity check operation on the received audio signal; performing a speaker recognition process on the received audio signal; forwarding the received audio signal to a second device, wherein the second device comprises a speech recognition function; and forwarding an output of the first data integrity check operation to the second device.

Abstract: A technical validation mechanism is described that includes the use of facial feature recognition and tokenization technology operating in combination with machine learning models can be used such that specific facial or auditory characteristics of how an originating script is effectuated can be used to train the machine learning models, which can then be used to validate a video or a particular dynamically generated passphrase by comparing overlapping phonemes or phoneme transitions between the originating script and the dynamically generated passphrase.

Abstract: A computing system may be configured to determine payment details for funds transfers from unstructured sets of data. The system may maintain historical transaction information associated with each of a plurality of users. The system may receive data associated with a transaction. The system may identify a user associated with the data, wherein the user is one of the plurality of users. The system may determine, based on contextual information of the data and the historical transaction information associated with the user, payment details about the transaction. The payment details may include a payment amount and one or more recipients. The system may execute a funds transfer for the payment amount from a source account associated with the user to one or more destination accounts associated with the one or more recipients.

Abstract: A non-transitory computer-readable storage medium storing computer-readable program code executable by a processor to receive a transaction request from a user interface, and receive a user-identifier from the user interface, and the user-identifier associated with a user. The program code may be executable to send a first non-audible sound signal to initiate a multifactor authentication process during a first interval, and send a second non-audible sound signal during a second interval, where the second non-audible sound signal comprises a predetermined frequency pattern, associated with the user. The program code may also be executable to receive a third non-audible sound signal, where the third non-audible sound signal, at least in part, is utilized to determine whether to complete the transaction request or not. The first non-audible sound signal, the second non-audible sound signal, and the third non-audible sound signal may comprise a frequency greater than 15 kHz.

Abstract: Various examples are directed to systems and methods for detecting fraud. A financial institution system may receive, from a transaction device, a transaction authorization request describing a transaction to be drawn on an account of a user. The financial institution system may also receive, from the user computing device, environmental data describing an environment of the user and determine that the environmental data indicates an anomalous condition. Based at least in part on the determining, the financial institution system may decline the transaction.

Abstract: Described are systems and methods for enabling voice interaction with appliances, services (e.g., media streaming services, gaming services, news feed services, social platform services, etc.), and the like by way of appropriate supplied apps (also referred to as “skills,” “actions,” or the like) which may be presented or downloaded to a smart device having associated therewith one or more cloud-based voice service platforms. Also described are systems that utilize one or more microphones to provide sound metering for control purposes.

Abstract: Sensor data is received at a processor of a vehicle including at least one sensor, a plurality of axles, and a plurality of tires coupled to the plurality of axles. A determination is made by the processor if at least one tire from the plurality of tires is faulty based on the sensor data. A determination is made by the processor of at least one side of the vehicle and at least one axle from the set of axles associated with the at least one tire in response to the determining that the at least one tire is faulty. A determination is made by the processor of at least one remedial action to be performed by the vehicle based on the sensor data, the at least one side, and the at least one axle.

Abstract: In some implementations, (i) audio data representing a voice command spoken by a speaker and (ii) a speaker identification result indicating that the voice command was spoken by the speaker are obtained. A voice action is selected based at least on a transcription of the audio data. A service provider corresponding to the selected voice action is selected from among a plurality of different service providers. One or more input data types that the selected service provider uses to perform authentication for the selected voice action are identified. A request to perform the selected voice action and (i) one or more values that correspond to the identified one or more input data types are provided to the service provider.

Abstract: Aspects of the disclosure relate to voice biometric authentication in a virtual assistant. In some embodiments, a computing platform may receive, from a user device, an audio file comprising a voice command to access information related to a user account. The computing platform may retrieve one or more voice biometric signatures from a voice biometric database associated with the user account, and apply a voice biometric matching algorithm to compare the voice command of the audio file to the one or more voice biometric signatures to determine if a match exists between the voice command and one of the one or more voice biometric signatures. In response to determining that a match exists, the computing platform may retrieve information associated with the user account, and then send, via the communication interface, the information associated with the user account to the user device.

Abstract: An information processing system includes circuitry configured to acquire voice data; supplement the voice data with relating information so as to generate an output request in which at least an output device to output an output target is identified based on the voice data; transmit the output request to the identified output device; and cause the output device to output the output target contained in the output request.

Abstract: Disclosed herein are systems, computer-implemented methods, and tangible computer-readable storage media for speaker recognition personalization. The method recognizes speech received from a speaker interacting with a speech interface using a set of allocated resources, the set of allocated resources including bandwidth, processor time, memory, and storage. The method records metrics associated with the recognized speech, and after recording the metrics, modifies at least one of the allocated resources in the set of allocated resources commensurate with the recorded metrics. The method recognizes additional speech from the speaker using the modified set of allocated resources. Metrics can include a speech recognition confidence score, processing speed, dialog behavior, requests for repeats, negative responses to confirmations, and task completions.

Abstract: Provided is a system, method, and computer program product for conducting secure transactions with at least two appliances. The method includes monitoring audio data with a first appliance including a processor, a speaker, and a microphone; detecting, with the first appliance, an audible request to initiate a transaction from a user from the audio data; communicating, with the first appliance, a transaction request to at least one remote server in response to detecting the audible request to initiate the transaction; detecting, with the first appliance, a credential message received by the first appliance directly from a second appliance via an audio transmission, the credential message corresponding to the transaction request and including a limited use key provided to the second appliance from the at least one remote server or another remote server; and in response to detecting the credential message, initiating, with the first appliance, the transaction based on the limited use key.

Abstract: Authentication is performed based on a user narrative. A narrative, such as a personal story, can be requested during a setup process. Content, voice signature, and emotion can be determined or inferred from analyzing the narrative. Subsequently, a user can provide vocal input associated with the narrative, such as by retelling the narrative or answering questions regarding the narrative. The vocal input can be analyzed for content, voice signature and emotion, and compared with the initial narrative. An authentication score can then generated based on the comparison.

Abstract: Bayesian continuous user authentication can be obtained by receiving observed behavior data that collectively characterizes interaction of an active user with at least one computing device or software application. A sequence of events within the observed behavior data can be identified and scored using a universal background model that generates first scores that characterize an extent to which each event or history of events is anomalous for a particular population of users. Further, the events are scored using a user model that generates second scores that characterizes an extent to which each event or history of events is anomalous for the particular user who owns the account. The first scores and the second scores are smoothed using a smoothing function. A probability that the active user is the account owner associated with the user model is determined based on the smoothed first scores and the smoothed second scores.

Abstract: Various examples are directed to systems and methods for detecting fraud. A financial institution system may receive, from a transaction device, a transaction authorization request describing a transaction to be drawn on an account of a user. The financial institution system may also receive, from the user computing device, environmental data describing an environment of the user and determine that the environmental data indicates an anomalous condition. Based at least in part on the determining, the financial institution system may decline the transaction.

Abstract: A computing system may be configured to determine payment details for funds transfers from unstructured sets of data. The system may maintain historical transaction information associated with each of a plurality of users. The system may receive data associated with a transaction. The system may identify a user associated with the data, wherein the user is one of the plurality of users. The system may determine, based on contextual information of the data and the historical transaction information associated with the user, payment details about the transaction. The payment details may include a payment amount and one or more recipients. The system may execute a funds transfer for the payment amount from a source account associated with the user to one or more destination accounts associated with the one or more recipients.

Abstract: A method of speaker identification comprises receiving an audio signal representing speech; performing a first voice biometric process on the audio signal to attempt to identify whether the speech is the speech of an enrolled speaker; and, if the first voice biometric process makes an initial determination that the speech is the speech of an enrolled user, performing a second voice biometric process on the audio signal to attempt to identify whether the speech is the speech of the enrolled speaker. The second voice biometric process is selected to be more discriminative than the first voice biometric process.

Abstract: A device may select an individual that is a candidate for authentication by facial recognition. The device may identify a facial area of the individual and an area of exposed skin of the individual. The device may obtain a first temperature associated with the facial area of the individual and a second temperature associated with the area of exposed skin of the individual. The device may determine, based on the first temperature and the second temperature, whether an appearance of the facial area of the individual is likely altered by a face-altering technology. The device may selectively perform facial recognition on the facial area of the individual based on whether the appearance of the facial area of the individual is likely altered by the face-altering technology.

Abstract: Systems, devices, methods, and computer readable media are provided in various embodiments relating to generating a dynamic challenge passphrase data object. The method includes establishing, a plurality of data record clusters, representing a mutually exclusive set of structured data records of an individual, ranking the plurality of feature data fields based on a determined contribution value of each feature data field relative to the establishing of the data record cluster, and identifying, using the ranked plurality of feature data fields, a first and a second feature data field of the plurality of feature data fields. The method includes generating the dynamic challenge passphrase data object, wherein the first or the second feature data field is used to establish a statement string portion, and a remaining one of the first or the second feature data field is used to establish a question string portion and a correct response string.

Abstract: Systems, methods, and computer readable media comprising instructions executable by a processor, for recognizing speech within a received audio signal segment the audio signal to isolate the speech based on a speaker audio profile, determine from the audio signal a command, a first score reflecting confidence in determining the command, and a second score reflecting a potential error in determining the command, and cause the command to be executed if the first score is above a first threshold value and the second score is below a second threshold value.

Abstract: A computing device (300) for authenticating a user (110), such as a mobile phone, a smartphone, a tablet, or the like, is provided. The computing device is operative to acquire a representation of a melody generated by the user, and authenticate the user in response to determining that the acquired representation of the user-generated melody and a representation of a reference melody fulfil a similarity condition. The user-generated melody may either be vocalized or subvocalized. If the melody is vocalized, the representation is derived from audio data captured by a microphone (102). If the melody is subvocalized, the representation is derived from nerve signals captured by sensors attached to the throat (111) of the user, or from a video sequence acquired from a camera (103), the video sequence capturing one or more body parts (111-115) of the user subvocalizing the melody, by magnifying motions of the one or more body parts which are correlated with the subvocalized melody.

Abstract: A biometric sensor including: a transmitter configured to transmit electromagnetic waves between 1 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter; and wherein the transmitter and receiver are positioned in relation to an object to be scanned such that the receiver receives reflected electromagnetic waves. A method for sensing including: transmitting electromagnetic waves between 1 GHz and 300 GHz to an object; receiving reflected electromagnetic waves from the object; analyzing the electromagnetic waves and reflected electromagnetic waves to determine a characteristic of interest associated with the object.

Abstract: A speaker recognizing method includes acquiring subject identification information that is identification information of an authentic person who the subject speaker claims to be, calculating a first feature value representing a feature value of the subject voice signal, selecting a group including pieces of the voice information associated with the subject identification information, from the first database, calculating degrees of similarity between the pieces of the voice information included in the selected group and the first feature value and a subject degree of similarity representing a degree of similarity between the voice information associated with the subject identification information, the voice information being stored in the second database, and the first feature value, calculating a rank of the subject degree of similarity in the calculated degrees of similarity, and when the rank is smaller than a given first rank, determining the subject speaker to be the authentic person.

Abstract: Embodiments of the present disclosure relate to a method and an apparatus for identity authentication, an electronic device, and a computer readable storage medium. The method for identity authentication includes: acquiring a signal of a speech of a user; generating feature data with a plurality of dimensions based on the signal, the feature data with the plurality of dimensions indicate different characteristics of the signal; and determining an identity of the user based on the feature data.

Abstract: Methods, apparatus, computer program product and computer readable medium are disclosed for authentication. A method comprises: sending an authentication request to a relying party, wherein the authentication request comprises a voice authentication command of a user; receiving from an identity provider at least one first challenge message with respective randomly generated verification code and respective first randomly generated challenge style; and sending at least one voice verification code to the identity provider, wherein the at least one voice verification code is pronounced by the user in the light of the respective randomly generated verification code and the respective first randomly generated challenge style.

Abstract: An audio firewall system has a microphone that generates audio data. A speech-to-text engine converts the audio data to text data. The text data is parsed for a service wake word and corresponding content data. The service wake word identifies one of a local security system and a remote assistant server. A text-to-speech engine converts the service wake word and the corresponding content data to converted audio data. The converted audio data is provided to the remote assistant server. The content data is provided to the local security system. The audio firewall system receives a response from the remote assistant server or the local security system and outputs an audio signal corresponding to the response.

Abstract: A computer-implemented method for creating a combined audio signal in a speech recognition system, the method includes sampling the audio input signal to generate a time-domain sampled input signal, then converting the time-domain sampled input signal to a frequency-domain input signal, afterwards generating perceptual weights in response to frequency components of critical bands of the frequency-domain input signal, creating a time-domain adversary signal in response to the perceptual weights; and combining the time-domain adversary signal with the audio input signal to create a combined audio signal, wherein a speech processing of the combined audio signal will output a different result from speech processing of the audio input signal.

Abstract: Computer systems configured to correlate instances of empirical data, gathered from ambient observation of a person, as being potentially relevant to each other vis-à-vis one particular behavior. A pair of correlated instances of empirical data is analyzed to identify it as an instance of the one particular behavior. Such computer systems facilitate transmission of a digital message, the content of which may be determined in response to the instance of the one particular behavior. The digital message might be used to alter the one particular behavior of the person in real time.

Abstract: A non-transitory computer-readable storage medium storing computer-readable program code executable by a processor to receive a transaction request from a user interface, and receive a user-identifier from the user interface, and the user-identifier associated with a user. The program code may be executable to send a first non-audible sound signal to initiate a multifactor authentication process during a first interval, and send a second non-audible sound signal during a second interval, where the second non-audible sound signal comprises a predetermined frequency pattern, associated with the user. The program code may also be executable to receive a third non-audible sound signal, where the third non-audible sound signal, at least in part, is utilized to determine whether to complete the transaction request or not. The first non-audible sound signal, the second non-audible sound signal, and the third non-audible sound signal may comprise a frequency greater than 15 kHz.

Abstract: Various embodiments of the technology described herein alleviate the need to specifically request enrollment information from a user to enroll the user in a passive voice authentication program. The system can receive one or more spoken words from a user. The system can select at least one word from the one or more spoken words to enroll the user into a voice authentication program without requiring further interaction from the user. The voice authentication program selectively enables access to secure data in response to receiving the at least one word spoken by the user. After enrollment of the user into the voice authentication program, at least one word spoken by the user is received, and the user is authenticated based on the at least one word.

Abstract: Methods, systems and computer program products for operating a voice response system in a multiuser environment are provided. Aspects include receiving a voice command from a first user and determining a characteristic of how the voice command was received by the voice response system. Aspects also include obtaining a response preference of the first user and determining a response to the voice command. Aspects further include providing the response to the first user, wherein a manner in which the response is provided is determined based at least in part on the response preference of the first user and the characteristic of how the voice command was received.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for determining the context of calls and providing a user interface to a user. The exemplary embodiments may include collecting data from the call, extracting one or more features from the collected data, determining a context of the call based on applying one or more models to the extracted one or more features, and providing a user with a user interface.

Abstract: A computing device for authenticating a user is provided. The computing device is operative to display a first text to the user, acquire a representation of the user subvocalizing a part of the first text, derive a user phrasing signature from the acquired representation, and authenticate the user in response to determining that the user phrasing signature and a reference phrasing signature fulfill a similarity condition. Optionally, the computing device may be further operative to determine if the user is authorized to read the first text. Further optionally, the computing device may be operative to reveal obfuscated parts of the first text in response to determining that the user is authorized to read the first text, or to discontinue displaying the first text, or to obfuscate at least part of the first text, in response to determining that the user is not authorized to read the first text.

Abstract: Detecting and monitoring legacy devices (such as appliances in a home) using audio sensing is disclosed. Methods and systems are provided for transforming audio data captured by the sensor to afford privacy when speech is overheard by the sensor. Because these transformations may negatively impact the ability to detect/monitor devices, an effective transformation is determined based on both privacy and detectability concerns.

Abstract: The present disclosure especially relates to a method, carried out by one or more devices, said method comprising: non-destructively determining structural information that is characteristic of at least part of the structure of a textile (202); ascertaining at least one treatment parameter of the textile (202) at least partly on the basis of said structural information; and outputting or initiating output of the at least one treatment parameter.

Abstract: An apparatus and method for tracking a head of a subject in a series of images includes receiving a series of images of at least a portion of a subject's head; tracking a position of the subject's head in the series of images based on positions of a first plurality of primary features of the subject's head; determining a first confidence level of the position of the subject's head based on the positions of the first plurality of primary features; monitoring a position of a secondary feature; and upon determining that the first confidence level is below a defined threshold, tracking the position of the subject's head based on the position of the secondary feature rather than the positions of the primary features.

Abstract: Detecting a replay attack on a voice biometrics system comprises receiving a speech signal; forming an autocorrelation of at least a part of the speech signal; and identifying that the received speech signal may result from a replay attack based on said autocorrelation. Identifying that the received speech signal may result from a replay attack may be achieved by: comparing the autocorrelation with a reference value; and identifying that the received speech signal may result from a replay attack based on a result of the comparison of the autocorrelation with the reference value, or by: supplying the autocorrelation to a neural network trained to distinguish autocorrelations formed from speech signals resulting from replay attacks from autocorrelations formed from speech signals not resulting from replay attacks.

Abstract: A mobile communication environment (100) can include a mobile device (160) to measure and send sound pressure level data. The mobile device (160) can initiate the collection of audio information responsive to detecting a trigger event. Mobile device (160) can measure or calculate the sound pressure level from the audio information. Metadata including time information and geographic location information can be captured with the collected audio information. Mobile device (160) can send the sound pressure level data and metadata through a wired or wireless communication path to a database (614).

Abstract: A computing system may be configured to determine payment details for funds transfers from unstructured sets of data. The system may maintain historical transaction information associated with each of a plurality of users. The system may receive data associated with a transaction. The system may identify a user associated with the data, wherein the user is one of the plurality of users. The system may determine, based on contextual information of the data and the historical transaction information associated with the user, payment details about the transaction. The payment details may include a payment amount and one or more recipients. The system may execute a funds transfer for the payment amount from a source account associated with the user to one or more destination accounts associated with the one or more recipients.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which receives a request from a user's electronic client device. The server determines the authentication level of the request. If the authentication level satisfies a threshold, the server may route the request to a call center computing system; otherwise, the server authenticates the user based on the authentication level. Specifically, the server presents one or more security challenges corresponding to the authentication level and authorizes the user if the user correctly answers the security challenges. The server may receive a second request from the same user who has been authorized for the first authentication level. If the authentication level of the second request is higher, the server may present more security challenges on the second level; if the authentication level is lower, the server directly allows the access of the requested services.

Abstract: Methods, non-transitory computer readable media, network traffic management apparatuses, and network traffic management systems that obtain a dictionary comprising a plurality of credentials and populate a probabilistic data structure based on the dictionary. A login request is received from a client and one or more credentials are extracted from the received login request. A determination of when the probabilistic data structure indicates that the extracted credentials are included in the dictionary is made. A mitigation action is initiated with respect to the client, when the determination indicates that the probabilistic data structure indicates that the extracted credentials are included in the dictionary. This technology more efficiently and effectively detects and mitigates brute force credential stuffing attacks advantageously using a reduced amount of resources.

Abstract: A method of performing speech recognition, comprises, at a first device: receiving an audio signal representing speech; performing a first data integrity check operation on the received audio signal; performing a speaker recognition process on the received audio signal; forwarding the received audio signal to a second device, wherein the second device comprises a speech recognition function; and forwarding an output of the first data integrity check operation to the second device.

Abstract: A computer-implemented method, computer program product, and system are provided for separating a word in a dictionary. The method includes reading a word from the dictionary as a source word. The method also includes searching the dictionary for another word having a substring with a same surface string and a same reading as the source word. The method additionally includes splitting the another word by the source word to obtain one or more remaining substrings of the another word. The method further includes registering each of the one or more remaining substrings as a new word in the dictionary.

Abstract: A received signal represents a user's speech. A first speaker recognition process is performed on a first portion of the received signal, to obtain a first output result. A second speaker recognition process is performed on a second portion of the received signal that is different from the first portion of the received signal, to obtain a second output result. The second speaker recognition process is different from the first speaker recognition process. The first and second output results are combined to obtain a combined output result indicating a likelihood that the user is a registered user.

Abstract: The present invention relates to user authentication, and more particularly, to a method and an apparatus for providing authentication using voice and facial data, in which a voice and a face of a user are recognized and authenticated using an deep learning model, so that theft due to leakage of a password of a security device is prevented from occurring.

Abstract: Currently available weather forecasts, which include a specific snowfall accumulation or range, do not convey the probability that snowfall will be within the forecasted snowfall accumulation range, probabilities of other snowfall accumulation amounts, or a forecaster's level of confidence. A snowfall probability distribution forecasting system is disclosed that uses a rules-based process to leverage third party weather forecasts, including members of ensemble forecasts, to generate snowfall probability distributions forecasting the most likely snowfall accumulation range, the probability that snowfall accumulation will be within the most likely snowfall accumulation range, and probabilities that snowfall accumulation will be outside of the most likely snowfall accumulation range. To ensure consistency with the deterministic forecast, the snowfall probability distribution may be shifted based on a deterministic forecast.

Abstract: The present invention discloses a method which comprises the following steps: inputting the image waiting for test and the template; log-polar transforming the image waiting for test; performing feature extraction on transformed image object; capturing an image feature; achieving a response map of scale and rotation of the image object corresponding to a template through a phase correlation by using features extracted from the image features; calculating a relative displacement by using a response value and coordinates of the response value in a surround area of a maximum value of the response pattern; calculating the scale and the rotation of an object in the image waiting for test corresponding to the template through the relative displacement. The present invention adopts the log-polar space as the image operating space to estimate the change in size and rotation of the object and provide a fast and robust select for upper applications.