Diarization Using Acoustic Labeling
    42.
    发明申请
    Diarization Using Acoustic Labeling 审中-公开
    使用声学标签进行分类

    公开(公告)号:US20140142944A1

    公开(公告)日:2014-05-22

    申请号:US14084974

    申请日:2013-11-20

    CPC classification number: G10L17/005 G10L17/02

    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.

    Abstract translation: 音频文件的系统和方法使用声学声纹模型。 分析多个音频文件以获得与所识别的说话者相关联的声学声波模型。 与音频文件相关联的元数据用于选择声学声纹模型。 所选择的声学声波模型被应用于二值化以识别所识别的扬声器的音频数据。

    DIARIZATION USING ACOUSTIC LABELING
    45.
    发明申请

    公开(公告)号:US20200312334A1

    公开(公告)日:2020-10-01

    申请号:US16848385

    申请日:2020-04-14

    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.

    SYSTEM AND METHOD FOR DE-ANONYMIZING ACTIONS AND MESSAGES ON NETWORKS

    公开(公告)号:US20200304519A1

    公开(公告)日:2020-09-24

    申请号:US16823421

    申请日:2020-03-19

    Abstract: A traffic-monitoring system that monitors encrypted traffic exchanged between IP addresses used by devices and a network, and further receives the user-action details that are passed over the network. By correlating between the times at which the encrypted traffic is exchanged and the times at which the user-action details are received, the system associates the user-action details with the IP addresses. In particular, for each action specified in the user-action details, the system identifies one or more IP addresses that may be the source of the action. Based on the IP addresses, the system may identify one or more users who may have performed the action. The system may correlate between the respective action-times of the encrypted actions and the respective approximate action-times of the indicated actions. The system may hypothesize that the indicated action may correspond to one of the encrypted actions having these action-times.

    Diarization using linguistic labeling

    公开(公告)号:US10522152B2

    公开(公告)日:2019-12-31

    申请号:US16170278

    申请日:2018-10-25

    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

    DIARIZATION USING LINGUISTIC LABELING
    50.
    发明申请

    公开(公告)号:US20190066690A1

    公开(公告)日:2019-02-28

    申请号:US16170278

    申请日:2018-10-25

    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

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