Diarization using textual and audio speaker labeling

    公开(公告)号:US10446156B2

    公开(公告)日:2019-10-15

    申请号:US16170297

    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
    64.
    发明申请

    公开(公告)号:US20190066692A1

    公开(公告)日:2019-02-28

    申请号:US16170297

    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 acoustic labeling

    公开(公告)号:US10134400B2

    公开(公告)日:2018-11-20

    申请号:US14084974

    申请日:2013-11-20

    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 of Automated Model Adaptation

    公开(公告)号:US20170206893A1

    公开(公告)日:2017-07-20

    申请号:US15473231

    申请日:2017-03-29

    Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.

    Funnel analysis
    68.
    发明授权
    Funnel analysis 有权
    漏斗分析

    公开(公告)号:US09569743B2

    公开(公告)日:2017-02-14

    申请号:US14608787

    申请日:2015-01-29

    CPC classification number: G06Q30/016 G06N5/022 G06N99/005 G06Q10/0637

    Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.

    Abstract translation: 使用桌面分析和文本分析应用漏斗分析的系统,方法和媒体来映射和分析客户服务交互的流程。 在示例实现中,该方法包括:定义表示包括至少一个语音事件,至少一个数据处理活动(DPA)事件和至少一个计算机电话集成(CTI))的一系列事件的至少一个流, 事件; 接收包括通信数据,DPA元数据和CTI元数据的客户服务交互数据; 将所述至少一个流应用于所述客户服务交互数据; 确定所述客户服务交互数据是否满足所述至少一个流程; 以及基于所述确定产生自动指示。

    SPEAKER SEPARATION IN DIARIZATION
    69.
    发明申请
    SPEAKER SEPARATION IN DIARIZATION 有权
    扬声器分离

    公开(公告)号:US20160343373A1

    公开(公告)日:2016-11-24

    申请号:US15158959

    申请日:2016-05-19

    CPC classification number: G10L15/26 G10L17/06 G10L25/51 G10L25/78 G10L2025/783

    Abstract: The system and method of separating speakers in an audio file including obtaining an audio file. The audio file is transcribed into at least one text file by a transcription server. Homogenous speech segments are identified within the at least one text file. The audio file is segmented into homogenous audio segments that correspond to the identified homogenous speech segments. The homogenous audio segments of the audio file are separated into a first speaker audio file and second speaker audio file the first speaker audio file and the second speaker audio file are transcribed to produce a diarized transcript.

    Abstract translation: 分离音频文件中的扬声器的系统和方法,包括获取音频文件。 音频文件由转录服务器转录成至少一个文本文件。 在至少一个文本文件内识别均匀的语音段。 音频文件被分割成与所识别的同源语音片段对应的同质音频段。 音频文件的同质音频片段被分成第一扬声器音频文件和第二扬声器音频文件,第一扬声器音频文件和第二扬声器音频文件被转录以产生经过缩写的转录。

    Funnel Analysis
    70.
    发明申请
    Funnel Analysis 有权
    漏斗分析

    公开(公告)号:US20150222752A1

    公开(公告)日:2015-08-06

    申请号:US14608787

    申请日:2015-01-29

    CPC classification number: G06Q30/016 G06N5/022 G06N99/005 G06Q10/0637

    Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.

    Abstract translation: 使用桌面分析和文本分析应用漏斗分析的系统,方法和媒体来映射和分析客户服务交互的流程。 在示例实现中,该方法包括:定义表示包括至少一个语音事件,至少一个数据处理活动(DPA)事件和至少一个计算机电话集成(CTI))的一系列事件的至少一个流, 事件; 接收包括通信数据,DPA元数据和CTI元数据的客户服务交互数据; 将所述至少一个流应用于所述客户服务交互数据; 确定所述客户服务交互数据是否满足所述至少一个流程; 以及基于所述确定产生自动指示。

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