SYSTEM AND METHOD FOR PERFORMING VOICE BIOMETRICS ANALYSIS

    公开(公告)号:US20190362057A1

    公开(公告)日:2019-11-28

    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.

    AUTHENTICATION VIA A DYNAMIC PASSPHRASE

    公开(公告)号:US20210279318A1

    公开(公告)日:2021-09-09

    申请号:US17329425

    申请日:2021-05-25

    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

    METHOD AND SYSTEM FOR FRAUD CLUSTERING BY CONTENT AND BIOMETRICS ANALYSIS

    公开(公告)号:US20210037137A1

    公开(公告)日:2021-02-04

    申请号:US16740518

    申请日:2020-01-13

    Applicant: NICE LTD

    Abstract: A computer-implemented method for proactive fraudster exposure in a customer service center according to content analysis and voice biometrics analysis, is provided herein. The computer-implemented method includes: (i) collecting call interaction; (ii) storing the collected call interactions; (iii) performing a first type analysis to cluster the call interactions into ranked clusters and storing the ranked clusters in a clusters database; (iv) performing a second type analysis on a predefined amount of the highest ranked clusters, into ranked clusters and storing the ranked clusters; the first type analysis is a content analysis and the second type analysis is a voice biometrics analysis, or vice versa, (v) enabling a user to repeat steps (iii) and (iv); (vi) retrieving from the ranked clusters, a list of fraudsters; and transmitting the list of potential fraudsters to an application to display to a user said list of potential fraudsters via a display unit.

    METHOD AND SYSTEM FOR PROACTIVE FRAUDSTER EXPOSURE IN A CUSTOMER SERVICE CHANNEL

    公开(公告)号:US20210037136A1

    公开(公告)日:2021-02-04

    申请号:US16525606

    申请日:2019-07-30

    Applicant: NICE LTD

    Abstract: A computer-implemented method for proactive fraudster exposure in a customer service center having multiple service channels is provided herein. The computer-implemented method may collect call interactions based on predefined rules by a calls collection engine and store the collected call interactions. The computer-implemented method may further analyze the call interactions by a Proactive Fraud Exposure engine by: (i) generating a voiceprint for each call interaction; (ii) using machine learning technique to group the call interactions into one or more clusters based on respective voiceprints in the voiceprints database; (iii) storing the one or more clusters; and (iv) ranking and classifying the one or more clusters to yield a list of potential fraudsters. The computer-implemented method may further transmit the list of potential fraudsters to a user to enable the user to review said list of potential fraudsters and to add fraudsters from the list to a watchlist database.

    SYSTEM AND METHOD FOR PERFORMING VOICE BIOMETRICS ANALYSIS

    公开(公告)号:US20200250290A1

    公开(公告)日:2020-08-06

    申请号:US16857397

    申请日:2020-04-24

    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.

    SYSTEMS AND METHODS TO DETERMINE THAT A SPEAKER IS HUMAN USING A SIGNAL TO THE SPEAKER

    公开(公告)号:US20200184979A1

    公开(公告)日:2020-06-11

    申请号:US16210076

    申请日:2018-12-05

    Applicant: Nice Ltd.

    Abstract: A system and method of voice authentication of an audio stream represented to be the spoken voice of a person, may include receiving via a device such as telephony device a voice stream or voice recording represented to be that of a person speaking, providing an interfering or interrupting audio signal to the device, and using information regarding the interfering audio signal, determining if the voice stream indicates a reaction to the audio output. In such a manner it may be determined if the spoken voice is that of a real, live, person, speaking in real-time, or that of a device or person attempting to imitate a person (e.g. using a recording).

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