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    DETECTING SYNTHETIC SPEECH
    3.
    发明申请
    DETECTING SYNTHETIC SPEECH 有权

    公开(公告)号：US20240379112A1

    公开(公告)日：2024-11-14

    申请号：US18661313

    申请日：2024-05-10

    Applicant: SRI International

    Inventor： MD Hafizur Rahman ,  Christopher L. Cobo-Kroenke ,  Martin Graciarena

    IPC: G10L17/26 ,  G10L17/02 ,  G10L17/04

    Abstract: In general, the disclosure describes techniques for detecting synthetic speech in an audio clip. In an example, a computing system may include processing circuitry and memory for executing a machine learning system. The machine learning system may be configured to process an audio clip to generate a plurality of speech artifact embeddings based on a plurality of synthetic speech artifact features. The machine learning system may further be configured to compute one or more scores based on the plurality of speech artifact embeddings. The machine learning system may further be configured to determine, based on the one or more scores, whether one or more frames of the audio clip include synthetic speech. The machine learning system may further be configured to output an indication of whether the one or more frames of the audio clip include synthetic speech.

    MEDIA ATTRIBUTION VERIFICATION
    4.
    发明公开
    MEDIA ATTRIBUTION VERIFICATION 审中-公开

    公开(公告)号：US20240147025A1

    公开(公告)日：2024-05-02

    申请号：US18471171

    申请日：2023-09-20

    Applicant: SRI International

    Inventor： Martin Graciarena ,  John Cadigan ,  Alan Taitz

    IPC: H04N21/83 ,  H04N21/81

    CPC classification number: H04N21/83 ,  H04N21/814

    Abstract: In general, the disclosure describes techniques for obtaining, by a computing system, a content item and a purported source for the content item, wherein the content item may include multimodal data. The techniques may further include generating, by the computing system, a plurality of modality feature vectors representative of the multimodal data, wherein each of the generated modality feature vectors has a different, corresponding modality feature. The techniques may further include mapping, by the computing system, the generated modality feature vectors based on a statistical distribution associated with the purported source. The techniques may further include determining, by the computing system, a score based on the mapping. The techniques may further include outputting, by the computing system and based on the score, an indication of whether the content item originated from the purported source.

    Autonomous intelligent radio
    6.
    发明授权
    Autonomous intelligent radio 有权

    公开(公告)号：US11152016B2

    公开(公告)日：2021-10-19

    申请号：US16407009

    申请日：2019-05-08

    Applicant: SRI International

    Inventor： Aaron D. Lawson ,  Harry Bratt ,  Mitchell L. McLaren ,  Martin Graciarena

    IPC: G10L25/84 ,  H04L27/00 ,  H04H60/48 ,  H04H60/70 ,  G10L15/16 ,  G06N20/00 ,  G10L15/22 ,  G10L15/08 ,  G10L15/00

    Abstract: Embodiments of the disclosed technologies include finding content of interest in an RF spectrum by automatically scanning the RF spectrum; detecting, in a range of frequencies of the RF spectrum that includes one or more undefined channels, a candidate RF segment; where the candidate RF segment includes a frequency-bound time segment of electromagnetic energy; executing a machine learning-based process to determine, for the candidate RF segment, signal characterization data indicative of one or more of: a frequency range, a modulation type, a timestamp; using the signal characterization data to determine whether audio contained in the candidate RF segment corresponds to a search criterion; in response to determining that the candidate RF segment corresponds to the search criterion, outputting, through an electronic device, data indicative of the candidate RF segment; where the data indicative of the candidate RF segment is output in a real-time time interval after the candidate RF segment is detected.

    AUTONOMOUS INTELLIGENT RADIO
    8.
    发明申请
    AUTONOMOUS INTELLIGENT RADIO 审中-公开

    公开(公告)号：US20200184997A1

    公开(公告)日：2020-06-11

    申请号：US16407009

    申请日：2019-05-08

    Applicant: SRI International

    Inventor： Aaron D. Lawson ,  Harry Bratt ,  Mitchell L. McLaren ,  Martin Graciarena

    IPC: G10L25/84 ,  H04L27/00 ,  H04H60/48 ,  H04H60/70 ,  G10L15/22 ,  G10L15/16 ,  G06N20/00

    Abstract: Embodiments of the disclosed technologies include finding content of interest in an RF spectrum by automatically scanning the RF spectrum; detecting, in a range of frequencies of the RF spectrum that includes one or more undefined channels, a candidate RF segment; where the candidate RF segment includes a frequency-bound time segment of electromagnetic energy; executing a machine learning-based process to determine, for the candidate RF segment, signal characterization data indicative of one or more of: a frequency range, a modulation type, a timestamp; using the signal characterization data to determine whether audio contained in the candidate RF segment corresponds to a search criterion; in response to determining that the candidate RF segment corresponds to the search criterion, outputting, through an electronic device, data indicative of the candidate RF segment; where the data indicative of the candidate RF segment is output in a real-time time interval after the candidate RF segment is detected.

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