Abstract: An example system includes a processor to receive a data set and similarity scores. The processor is to execute an eigen response analysis on eigenvectors calculated for a similarity matrix generated based on the similarity scores for the data set. The processor is to output an estimated number of clusters in the data set based on the eigen response analysis.

Abstract: An example system includes a processor to receive a data set and similarity scores. The processor is to execute an eigen response analysis on eigenvectors calculated for a similarity matrix generated based on the similarity scores for the data set. The processor is to output an estimated number of clusters in the data set based on the eigen response analysis.

Abstract: There is provided a computer implemented method of presenting color coded text generated from an audio track of a video, the color coding denoting respective speakers, comprising: receiving the audio track of the video divided into a plurality of audio-segments each representing speech spoken by a respective speaker of a plurality of speakers, for each audio-segment of the plurality of audio-segments: receiving a text representation of the audio-segment, extracting a feature vector from the audio-segment, mapping the feature vector to a color space, coloring the text representation according to the color space, and presenting the colored text representation in association with a video-segment corresponding to the audio-segment.

Abstract: Aspects of the present disclosure relate to enhancing biometric security. A biometric template and a biometric sample can be compared using a first security technique having a first ECC framework with a first number of codewords. A determination can be made that the biometric template and biometric sample do not match using the first security technique. The biometric template and the biometric sample can then be compared using a second security technique having a second ECC framework with a second number of codewords, the second number of codewords less than the first number of codewords. A determination can then be made that the biometric template and the biometric sample match, and a user associated with the biometric sample can be verified.

Abstract: There is provided a computer implemented method of presenting color coded text generated from an audio track of a video, the color coding denoting respective speakers, comprising: receiving the audio track of the video divided into a plurality of audio-segments each representing speech spoken by a respective speaker of a plurality of speakers, for each audio-segment of the plurality of audio-segments: receiving a text representation of the audio-segment, extracting a feature vector from the audio-segment, mapping the feature vector to a color space, coloring the text representation according to the color space, and presenting the colored text representation in association with a video-segment corresponding to the audio-segment.

Abstract: Embodiments of the present systems and methods may provide techniques for handling acoustic-lips timing mismatch in audiovisual processing. In embodiments, the context-dependent time shift between the audio and visual streams may be explicitly modeled using an attention mechanism.

Abstract: Methods, computing systems and computer program products implement embodiments of the present invention that include defining a verification string including a sequence of verification characters and a delimiter character between each sequential pair of the verification characters, the delimiter character being different from the verification characters. The verification string to a user, and upon receiving, from the user, a series of verification vocal inputs in response to presenting the verification string, a set of verification features from each of the verification vocal inputs are computed so as to generate sets of verification features. A one-to-one correspondence is established between each of the verification vocal inputs and each of the verification characters, and the user is authenticated based on the verification vocal inputs and their corresponding sets of verification features.

Abstract: Aspects of the present disclosure relate to enhancing biometric security. A biometric template and a biometric sample can be compared using a first security technique having a first ECC framework with a first number of codewords. A determination can be made that the biometric template and biometric sample do not match using the first security technique. The biometric template and the biometric sample can then be compared using a second security technique having a second ECC framework with a second number of codewords, the second number of codewords less than the first number of codewords. A determination can then be made that the biometric template and the biometric sample match, and a user associated with the biometric sample can be verified.

Abstract: Embodiments of the present systems and methods may provide techniques for handling acoustic-lips timing mismatch in audiovisual processing. In embodiments, the context-dependent time shift between the audio and visual streams may be explicitly modeled using an attention mechanism.

Abstract: Methods, computing systems and computer program products implement embodiments of the present invention that include receiving, at a first time, first video and first audio signals generated in response to a user uttering a passphrase, and receiving, at a second time subsequent to the first time, second video and second audio signals generated in response the user uttering the passphrase. Upon computing an audio temporal alignment between the first and the second audio signals and computing a video temporal alignment between the first and the second video signal, the user can be authenticated by comparing the audio temporal alignment to the video temporal alignment.

Abstract: A method comprising using at least one hardware processor for: providing a set of development supervectors representing features of biometric samples of multiple subjects, the biometric samples being of at least a first and a second different biometric modalities; providing at least a first and a second enrollment supervectors representing features of at least a first and a second enrollment biometric samples of a target subject correspondingly, wherein the at least first and second enrollment samples are of the at least first and the second different biometric modalities correspondingly; providing at least a first and a second verification supervectors representing features of at least a first and a second verification biometric samples of the target subject correspondingly, wherein the at least first and second verification samples are of the at least first and second different biometric modalities correspondingly; concatenating the development supervectors to a set of development generic supervector, the a

Abstract: Dynamic multi-factor authentication challenge selection is provided. A risk associated with an operation that requires authentication of a user of a client device is determined. A plurality of authentication methods is identified. Each respective authentication method associated with a level of security offsetting the risk and a computing cost associated with a respective authentication method. One or more authentication methods are selected from the plurality of authentication methods according to the risk and to minimize the computing cost associated with authenticating the operation.

Abstract: A method of detecting an occurrence of splicing in a speech signal includes comparing one or more discontinuities in the test speech signal to one or more reference speech signals corresponding to the test speech signal. The method may further include calculating a frame-based spectral-like representation ST of the speech signal, and calculating a frame-based spectral-like representation SE of a reference speech signal corresponding to the speech signal. The method further includes aligning ST and SE in time and frequency, calculating a distance function associated with aligned ST and SE, and evaluating the distance function to determine a score. The method also includes comparing the score to a threshold to detect if splicing occurs in the speech signal.

Abstract: According to some embodiments of the present invention there is provided a computerized method for speech processing using a Gaussian Mixture Model. The method comprises the action of receiving by hardware processor(s) two or more covariance values representing relationships between distributions of speech coefficient values that represent two or more audible input speech signals recorded by a microphone. The method comprises the action of computing two or more eigenvectors and eignevalues using a principle component analysis of the covariance values and transforming the speech coefficient values using the eigenvectors and computing two or more second covariance values from the transformed speech coefficient values. The method comprises the action of modifying some of the second covariance values according to the eignevalues, the covariance values, and two or more indices of the speech coefficient values. The second covariance values to the speech processor comprising the Gaussian Mixture Model.

Abstract: Methods, computing systems and computer program products implement embodiments of the present invention that include defining a verification string including a sequence of verification characters and a delimiter character between each sequential pair of the verification characters, the delimiter character being different from the verification characters. The verification string to a user, and upon receiving, from the user, a series of verification vocal inputs in response to presenting the verification string, a set of verification features from each of the verification vocal inputs are computed so as to generate sets of verification features. A one-to-one correspondence is established between each of the verification vocal inputs and each of the verification characters, and the user is authenticated based on the verification vocal inputs and their corresponding sets of verification features.

Abstract: Methods, computing systems and computer program products implement embodiments of the present invention that include receiving, at a first time, first video and first audio signals generated in response to a user uttering a passphrase, and receiving, at a second time subsequent to the first time, second video and second audio signals generated in response the user uttering the passphrase. Upon computing an audio temporal alignment between the first and the second audio signals and computing a video temporal alignment between the first and the second video signal, the user can be authenticated by comparing the audio temporal alignment to the video temporal alignment.

Abstract: Dynamic multi-factor authentication challenge selection is provided. A risk associated with an operation that requires authentication of a user of a client device is determined. A plurality of authentication methods is identified. Each respective authentication method associated with a level of security offsetting the risk and a computing cost associated with a respective authentication method. One or more authentication methods are selected from the plurality of authentication methods according to the risk and to minimize the computing cost associated with authenticating the operation.

Abstract: Systems and methods for maintaining speaker recognition performance are provided. A method for maintaining speaker recognition performance, comprises training a plurality of models respectively corresponding to speaker recognition scores from a plurality of speakers over a plurality of sessions, and using the plurality of models to conclude whether a speaker seeking access to an environment is a non-ideal target speaker or a non-ideal non-target speaker. Using the plurality of models to conclude comprises calculating a first probability that the speaker seeking access is the non-ideal target speaker, calculating a second probability that the speaker seeking access is the non-ideal non-target speaker, and determining whether the first probability, the second probability or a sum of the first probability and the second probability is above a probability threshold.

Abstract: A method for inter-dataset variability compensation, the method comprising using at least one hardware processor for: receiving a heterogeneous development dataset comprising multiple samples and metadata associated with at least some of the multiple samples; dividing the multiple samples into multiple homogenous subsets, based on the metadata; averaging high-level features of each of the multiple homogenous subsets, to produce multiple central high-level features for the multiple homogenous subsets, respectively; computing an inter-dataset variability subspace spanned by the multiple central high-level features; removing the inter-dataset variability subspace from the high-level features of the multiple homogenous subsets, to produce denoised samples; and training a machine learning system using the denoised speech samples.

Abstract: A method for speaker verification is disclosed. The method comprises using at least one hardware processor for: providing a development set comprising multiple voice samples of multiple speakers uttering a predefined development text, prompting a test text to a target speaker, wherein the test text is different from the development text, and recording a test sample of the target speaker uttering the test text, synthesizing a set of artificial voice samples based on the multiple voice samples, wherein each of the artificial voice samples simulates a different speaker of the multiple speakers uttering the test text, and verifying an identity of the target speaker based on the set of artificial voice samples and on the test sample of the target speaker.