METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION

    公开(公告)号:US20220116493A1

    公开(公告)日:2022-04-14

    申请号:US17645179

    申请日:2021-12-20

    Abstract: A computer-implemented method for determining potentially undesirable voices, according to some embodiments, includes: receiving a plurality of audio recordings, the plurality of audio recordings comprising voices associated with undesirable activity, and determining a plurality of audio components of each of the plurality of audio recordings. The method may further comprise generating a multi-dimensional vector of audio components, from the plurality of audio components, for each of the plurality of audio recordings to generate a plurality of multi-dimensional vectors of audio components, and comparing audio components between the plurality of multi-dimensional vectors of audio components to determine a plurality of clusters of multi-dimensional vectors, each cluster of the plurality of clusters comprising two or more of the plurality of multi-dimensional vectors of audio components, wherein each cluster of the plurality of clusters corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the plurality of clusters.

    METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION

    公开(公告)号:US20240195905A1

    公开(公告)日:2024-06-13

    申请号:US18581804

    申请日:2024-02-20

    CPC classification number: H04M1/67 G10L17/00 H04M3/385 H04M2201/41

    Abstract: A method for determining potentially undesirable voices, in embodiments, includes: receiving audio recordings comprising voices associated with undesirable activity, and determining audio components of each of the audio recordings. The method may further comprise generating a multi-dimensional vector of the audio components for each of the plurality of audio recordings, and comparing audio components between the multi-dimensional vectors to determine clusters of multi-dimensional vectors, each cluster comprising two or more of the multi-dimensional vectors of audio components, wherein each cluster corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the clusters.

    METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION

    公开(公告)号:US20200304622A1

    公开(公告)日:2020-09-24

    申请号:US16845171

    申请日:2020-04-10

    Abstract: A computer-implemented method for determining potentially undesirable voices, according to some embodiments, includes: receiving a plurality of audio recordings, the plurality of audio recordings comprising voices associated with undesirable activity, and determining a plurality of audio components of each of the plurality of audio recordings. The method may further comprise generating a multi-dimensional vector of audio components, from the plurality of audio components, for each of the plurality of audio recordings to generate a plurality of multi-dimensional vectors of audio components, and comparing audio components between the plurality of multi-dimensional vectors of audio components to determine a plurality of clusters of multi-dimensional vectors, each cluster of the plurality of clusters comprising two or more of the plurality of multi-dimensional vectors of audio components, wherein each cluster of the plurality of clusters corresponds to a blacklisted voice. The method may further comprise receiving an audio recording or audio stream, and determining whether the audio recording or audio stream is associated with a voice associated with undesirable activity based on a comparison to the plurality of clusters.

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