SYSTEM AND METHOD FOR OPTIMIZING MATCHED VOICE BIOMETRIC PASSPHRASES

    公开(公告)号:US20190104120A1

    公开(公告)日:2019-04-04

    申请号:US15719701

    申请日:2017-09-29

    Applicant: Nice Ltd.

    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.

    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).

    REAL-TIME AGENT ASSISTANCE USING REAL-TIME AUTOMATIC SPEECH RECOGNITION AND BEHAVIORAL METRICS

    公开(公告)号:US20230124342A1

    公开(公告)日:2023-04-20

    申请号:US18059739

    申请日:2022-11-29

    Applicant: NICE LTD.

    Abstract: A method of assisting an agent in real-time includes receiving a call interaction between a customer and an agent; identifying words spoken in the call interaction; providing the words to a behavioral models module; computing a score for a plurality of behavioral metrics; providing a phrase formed by the words to a knowledge article selection module; providing each score for the plurality of behavioral metrics to the knowledge article selection module; providing a plurality of knowledge selection rules to the knowledge article selection module; evaluating a combination of the phrase and the scores of the plurality of behavioral metrics against each of the plurality of knowledge selection rules; matching a knowledge selection rule to the combination; selecting a knowledge article associated with the matched knowledge selection rule; generating a visual representation of the selected knowledge article; and presenting in real-time the visual representation on a graphical user interface.

    REAL-TIME FRAUD DETECTION IN VOICE BIOMETRIC SYSTEMS USING REPETITIVE PHRASES IN FRAUDSTER VOICE PRINTS

    公开(公告)号:US20230082094A1

    公开(公告)日:2023-03-16

    申请号:US17474606

    申请日:2021-09-14

    Applicant: NICE LTD.

    Abstract: A system is provided for real-time fraud detection with a fraudster voice print watchlist of repetitive fraudster phrases. The system includes a processor and a computer readable medium operably coupled thereto, to perform fraud prevention operations which include detecting a voice communication session having an audio signal of a user, accessing the fraudster voice print watchlist comprising a plurality of fraudster voice prints of the repetitive fraudster phrases, generating a voice print of the user using the audio signal, monitoring the user for real-time fraud detection using the fraudster voice print watchlist and the voice print of the user, and determining, based on the monitoring, whether the voice print of the user meets or exceeds a scoring threshold for matching with one or more of the plurality of fraudster voice prints from the fraudster voice print watchlist during the voice communication session.

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