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公开(公告)号：US20200035246A1
公开(公告)日：2020-01-30
申请号：US16594812
申请日：2019-10-07
Applicant: Verint Systems Ltd.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
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.
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公开(公告)号：US20200005796A1
公开(公告)日：2020-01-02
申请号：US16567446
申请日：2019-09-11
Applicant: Verint Systems Ltd.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
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.
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公开(公告)号：US10366693B2
公开(公告)日：2019-07-30
申请号：US15876534
申请日：2018-01-22
Applicant: Verint Systems Ltd.
Inventor： Alex Gorodetski , Ido Shapira , Ron Wein , Oana Sidi
Abstract: Disclosed herein are methods of diarizing audio data using first-pass blind diarization and second-pass blind diarization that generate speaker statistical models, wherein the first pass-blind diarization is on a per-frame basis and the second pass-blind diarization is on a per-word basis, and methods of creating acoustic signatures for a common speaker based only on the statistical models of the speakers in each audio session.
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公开(公告)号：US10134401B2
公开(公告)日：2018-11-20
申请号：US14084976
申请日：2013-11-20
Applicant: Verint Systems Ltd.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
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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公开(公告)号：US09508346B2
公开(公告)日：2016-11-29
申请号：US14291895
申请日：2014-05-30
Applicant: Verint Systems Ltd.
Inventor： Ran Achituv , Omer Ziv , Ido Shapira , Daniel Baum
IPC: G10L15/26 , G10L15/197 , G06F17/30 , G10L15/08
CPC classification number: G10L15/197 , G06F17/30746 , G10L15/063 , G10L15/083 , G10L15/26 , G10L2015/0635 , H04M3/51
Abstract: Systems and methods of automated adaptation of a language model for transcription of audio data include obtaining audio data. The audio data is transcribed with a language model to produce a plurality of audio file transcriptions. A quality of the plurality of audio file transcriptions is evaluated. At least one best transcription from a plurality of audio file transcriptions is selected based upon the evaluated quality. Statistics are calculated from the selected at least one best transcription from the plurality of audio file transcriptions. The language model is modified from the calculated statistics.
Abstract translation: 用于音频数据转录的语言模型的自动适应的系统和方法包括获得音频数据。 音频数据用语言模型转录以产生多个音频文件转录。 评估多个音频文件转录的质量。 基于评估的质量来选择来自多个音频文件转录的至少一个最佳转录。 根据来自多个音频文件转录的所选择的至少一个最佳转录来计算统计量。 语言模型根据计算的统计信息进行修改。
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Patent Agency Ranking
公开(公告)号：US20140142944A1
公开(公告)日：2014-05-22
申请号：US14084974
申请日：2013-11-20
Applicant: VERINT SYSTEMS LTD.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
IPC: G10L17/00
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。
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公开(公告)号：US11545137B2
公开(公告)日：2023-01-03
申请号：US16983550
申请日：2020-08-03
Applicant: Verint Systems Ltd.
Inventor： Ran Achituv , Omer Ziv , Roni Romano , Ido Shapira , Daniel Baum
IPC: G10L15/26 , G10L15/065 , G06F16/683 , G10L15/07 , G10L15/01 , G10L15/14 , G10L15/08
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.
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公开(公告)号：US20200312334A1
公开(公告)日：2020-10-01
申请号：US16848385
申请日：2020-04-14
Applicant: Verint Systems Ltd.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
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.
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公开(公告)号：US10733977B2
公开(公告)日：2020-08-04
申请号：US15473231
申请日：2017-03-29
Applicant: Verint Systems Ltd.
Inventor： Ran Achituv , Omer Ziv , Roni Romano , Ido Shapira , Daniel Baum
IPC: G10L15/26 , G10L15/065 , G06F16/683 , G10L15/07 , G10L15/01 , G10L15/14 , G10L15/08
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.
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公开(公告)号：US10692501B2
公开(公告)日：2020-06-23
申请号：US16594764
申请日：2019-10-07
Applicant: Verint Systems Ltd.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
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.
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