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    METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION
    2.
    发明公开
    METHODS AND SYSTEMS FOR AUTOMATIC DISCOVERY OF FRAUDULENT CALLS USING SPEAKER RECOGNITION 审中-公开

    公开(公告)号：US20240195905A1

    公开(公告)日：2024-06-13

    申请号：US18581804

    申请日：2024-02-20

    Applicant: Capital One Services, LLC

    Inventor： Zhiyuan GUAN ,  Carl S. ASHBY ,  Isabelle Alice Yvonne MOULINIER ,  Mark E. DICKISON

    IPC: H04M1/67 ,  G10L17/00 ,  H04M3/38

    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.

    Voice command security and authorization in user computing devices
    5.
    发明授权
    Voice command security and authorization in user computing devices 有权

    公开(公告)号：US11757871B1

    公开(公告)日：2023-09-12

    申请号：US17374381

    申请日：2021-07-13

    Applicant: T-Mobile USA, Inc.

    Inventor： Darshan Shah

    IPC: H04L9/40 ,  H04W12/64 ,  G10L17/22 ,  H04M1/72463

    CPC classification number: H04L63/0861 ,  G10L17/22 ,  H04M1/72463 ,  H04W12/64 ,  H04M2201/41

    Abstract: Techniques described herein include receiving, authorizing, and processing voice commands to control computing devices and perform various device capabilities. In some examples, a user computing device may implement voice command functionality using multiple independent components, with shared security credentials established between different combinations of components. An intermediate voice authorization component may receive and compare voice input data received from a user interface component with voice template data stored securely by a voice data component, to protect against a component becoming compromised by malware or exposure to an untrusted system. Voice commands may be used to execute, disable, or enable various capabilities on the user device, including different device applications and features, and may be authorized by different users with various security and authorization techniques.

    Multi-party conversation analyzer and logger
    9.
    发明授权
    Multi-party conversation analyzer and logger 有权

    公开(公告)号：US10084920B1

    公开(公告)日：2018-09-25

    申请号：US14605915

    申请日：2015-01-26

    Applicant: Voice Analytics Technologies, LLC

    Inventor： Jay Gainsboro ,  Lee Weinstein

    IPC: H04M1/64 ,  H04M3/56 ,  H04M3/42 ,  H04M11/00

    CPC classification number: G10L25/63 ,  G10L15/1807 ,  G10L17/00 ,  G10L21/12 ,  H04M3/2281 ,  H04M3/42221 ,  H04M3/568 ,  H04M2201/41

    Abstract: A multi-party conversation analyzer and logger uses a variety of techniques including spectrographic voice analysis, absolute loudness measurements, directional microphones, and telephonic directional separation to determine the number of parties who take part in a conversation, and segment the conversation by speaking party. In one aspect, the invention monitors telephone conversations in real time to detect conditions of interest (for instance, calls to non-allowed parties or calls of a prohibited nature from prison inmates). In another aspect, automated prosody measurement algorithms are used in conjunction with speaker segmentation to extract emotional content of the speech of participants within a particular conversation, and speaker interactions and emotions are displayed in graphical form. A conversation database is generated which contains conversation recordings, and derived data such as transcription text, derived emotions, alert conditions, and correctness probabilities associated with derived data. Investigative tools allow flexible queries of the conversation database.

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