System and method of text zoning
    11.
    发明授权

    公开(公告)号:US11217252B2

    公开(公告)日:2022-01-04

    申请号:US16553451

    申请日:2019-08-28

    Abstract: A method of zoning a transcription of audio data includes separating the transcription of audio data into a plurality of utterances. A that each word in an utterances is a meaning unit boundary is calculated. The utterance is split into two new utterances at a work with a maximum calculated probability. At least one of the two new utterances that is shorter than a maximum utterance threshold is identified as a meaning unit.

    Diarization using linguistic labeling with segmented and clustered diarized textual transcripts

    公开(公告)号:US10950241B2

    公开(公告)日:2021-03-16

    申请号:US16703206

    申请日:2019-12-04

    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.

    System and method of diarization and labeling of audio data

    公开(公告)号:US10902856B2

    公开(公告)日:2021-01-26

    申请号:US16703245

    申请日:2019-12-04

    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 ACOUSTIC LABELING
    14.
    发明申请

    公开(公告)号:US20200035246A1

    公开(公告)日:2020-01-30

    申请号:US16594812

    申请日:2019-10-07

    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.

    DIARIZATION USING LINGUISTIC LABELING
    15.
    发明申请

    公开(公告)号:US20200005796A1

    公开(公告)日:2020-01-02

    申请号:US16567446

    申请日:2019-09-11

    Abstract: Systems and methods 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

    公开(公告)号:US10134401B2

    公开(公告)日:2018-11-20

    申请号:US14084976

    申请日:2013-11-20

    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.

    Automated Ontology Development
    17.
    发明申请
    Automated Ontology Development 审中-公开
    自动本体发展

    公开(公告)号:US20140222419A1

    公开(公告)日:2014-08-07

    申请号:US14173435

    申请日:2014-02-05

    CPC classification number: G06N5/022 G06F16/367

    Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

    Abstract translation: 自动本体发展的系统和方法包括通信数据语料库。 通信数据的语料库包括来自多个交互的通信数据并被处理。 从语料库中提取多个项。 多个的每个术语是识别语料库内的单个概念的多个单词。 从提取的术语中自动生成本体。

    Diarization Using Acoustic Labeling
    18.
    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。

    System and method of diarization and labeling of audio data

    公开(公告)号:US10720164B2

    公开(公告)日:2020-07-21

    申请号:US16702998

    申请日:2019-12-04

    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.

    Automated ontology development
    20.
    发明授权

    公开(公告)号:US10679134B2

    公开(公告)日:2020-06-09

    申请号:US16458482

    申请日:2019-07-01

    Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

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