Method and system for separating and authenticating speech of a speaker on an audio stream of speakers

    公开(公告)号:US11646038B2

    公开(公告)日:2023-05-09

    申请号:US17099803

    申请日:2020-11-17

    Applicant: NICE LTD

    CPC classification number: G10L17/22

    Abstract: A method for separating and authenticating speech of a speaker on an audio stream of speakers over an audio channel may include receiving audio stream data of the audio stream with speech from a speaker to be authenticated speaking with a second speaker. A voiceprint may be generated for each data chunk in the audio stream data divided into a plurality of data chunks. The voiceprint for each data chunk may be assessed as to whether the voiceprint has speech belonging to the speaker to be authenticated or to the second speaker using representative voiceprints of both speakers. An accumulated voiceprint may be generated using the verified data chunks with speech of the speaker to be authenticated. The accumulated voiceprint may be compared to the reference voiceprint of the speaker to be authenticated for authenticating the speaker speaking with the second speaker over the audio channel.

    Method for training a spoofing detection model using biometric clustering

    公开(公告)号:US11606461B2

    公开(公告)日:2023-03-14

    申请号:US17112352

    申请日:2020-12-04

    Applicant: NICE LTD.

    Abstract: Systems for and methods of training a spoofing detection model include receiving a plurality of customer call interactions; classifying each of the plurality of customer call interactions as a spoofed call or a non-spoofed call using a spoofing detection model; generating a voiceprint for each of the plurality of customer call interactions; comparing the generated voiceprints; grouping the generated voiceprints into one or more clusters based on the comparing, wherein each cluster represents a single speaker; locating a cluster containing a spoofed call and a non-spoofed call, thereby indicating that the non-spoofed call was misclassified by the spoofing detection model; and updating the spoofing detection model with the non-spoofed call.

    Authentication via a dynamic passphrase

    公开(公告)号:US11062011B2

    公开(公告)日:2021-07-13

    申请号:US16785811

    申请日:2020-02-10

    Applicant: Nice Ltd.

    Abstract: A computerize method for voice authentication of a customer in a self-service system is provided. A request for authentication of the customer is received and the customer is enrolled in the self-service system with a text-independent voice print. A passphrase from a plurality of passphrases to transmit to the customer is determined based on comparing each of the plurality of passphrases to a text-dependent or text-independent voice biometric model. The passphrase is transmitted to the customer, and when the customer responds, an audio stream of the passphrase is received. The customer is authenticated by comparing the audio stream of the passphrase against the text-independent voice print. If the customer is authenticated, then storing the audio stream of the passphrase and the topic of the passphrase.

    System and method for performing voice biometrics analysis

    公开(公告)号:US10678899B2

    公开(公告)日:2020-06-09

    申请号:US15988251

    申请日:2018-05-24

    Applicant: Nice Ltd.

    Abstract: In a system and method for audio analysis in a cloud-based computerized an authentication (RTA) manager micro-service may send an audio packet to a voice processor micro-service. The voice processor may extract features of the audio. The RTA manager may obtain the extracted features from the voice processor; calculate, based on the extracted features, a quality grade of the audio packet, and send the extracted features to an at least one voice biometrics engine if the quality grade is above a threshold. Each of the at least one voice biometrics engines may be configured to generate a voiceprint of the audio packet, based on the extracted features of the audio packet and to perform at least one of: authenticate a speaker, detect fraudsters, and enrich a previously stored voiceprint of the speaker with the voiceprint of the audio packet.

    Seamless text dependent enrollment
    16.
    发明授权

    公开(公告)号:US10600423B2

    公开(公告)日:2020-03-24

    申请号:US16255644

    申请日:2019-01-23

    Applicant: NICE LTD.

    Abstract: Methods and systems for transforming a text-independent enrolment of a customer into a text-dependent enrolment are provided. A request for authentication of a customer that is enrolled in the self-service system with a text-independent voice print is received. A request is transmitted to the customer to repeat a passphrase and the customer's response is received as an audio stream of the passphrase. The customer is authenticated by comparing the audio stream of the passphrase against the text-independent voice print and if the customer is authenticated then a text-dependent voice print is created based on the passphrase. Upon receipt of a subsequent request for authentication of the customer, a request may be transmitted to the customer to repeat the passphrase. Another audio stream of the passphrase may be received. The customer may be authenticated by comparing the another audio stream of the passphrase with the text-dependent voice print.

    System and method for real-time fraud detection in voice biometric systems using phonemes in fraudster voice prints

    公开(公告)号:US12236438B2

    公开(公告)日:2025-02-25

    申请号:US17568408

    申请日:2022-01-04

    Applicant: NICE Ltd.

    Abstract: A system and method for real-time fraud detection with a social engineering phoneme (SEP) watchlist of phoneme sequences may perform real-time fraud prevention operations including receiving incoming call interactions and grouping the call interactions into one or more clusters, each cluster associated with a speaker's voice based on voiceprints. For a pair of voiceprints in a cluster, a phoneme sequence is extracted for each voice print. From the extracted phoneme sequences, a similarity score is then calculated to determine if a match exists between the extracted phoneme sequences based on a threshold. If determined a match exists, the phoneme sequence may be added to a SEP watchlist.

    Computerized monitoring of digital audio signals

    公开(公告)号:US11984129B2

    公开(公告)日:2024-05-14

    申请号:US18064638

    申请日:2022-12-12

    Applicant: NICE LTD.

    CPC classification number: G10L19/00 G10L17/02 G10L25/30

    Abstract: A digital audio quality monitoring device uses a deep neural network (DNN) to provide accurate estimates of signal-to-noise ratio (SNR) from a limited set of features extracted from incoming audio. Some embodiments improve the SNR estimate accuracy by selecting a DNN model from a plurality of available models based on a codec used to compress/decompress the incoming audio. Each model has been trained on audio compressed/decompressed by a codec associated with the model, and the monitoring device selects the model associated with the codec used to compress/decompress the incoming audio. Other embodiments are also provided.

    Automatic storage management in networked data storage systems using storage device monitoring

    公开(公告)号:US11875049B2

    公开(公告)日:2024-01-16

    申请号:US17669511

    申请日:2022-02-11

    Applicant: NICE LTD.

    Abstract: A data storage system configured to optimize selection of a plurality of data storage devices. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium including a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform storage device selection operations which include detecting and gathering storage device information for storing data recordings to the plurality of data storage devices, determining, by a storage load balancer, a plurality of storage efficiency scores for the plurality of data storage devices using a loss function and the gathered storage device information, generating a storage efficiency table, and assigning, by the storage load balancer, a first data recording to one of the plurality of data storage devices based on the storage efficiency table and an efficiency score threshold for the plurality of storage efficiency scores.

    System and method for detecting fraud rings

    公开(公告)号:US11508377B2

    公开(公告)日:2022-11-22

    申请号:US15931892

    申请日:2020-05-14

    Applicant: Nice Ltd.

    Abstract: A system and method may identify a fraud ring based on call or interaction data by analyzing by a computer processor interaction data including audio recordings to identify clusters of interactions which are suspected of involving fraud each cluster including the same speaker; analyzing by the computer processor the clusters, in combination with metadata associated with the interaction data, to identify fraud rings, each fraud ring describing a plurality of different speakers, each fraud ring defined by a set of speakers and a set of metadata corresponding to interactions including that speaker; and for each fraud ring, creating a relevance value defining the relative relevance of the fraud ring.

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