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1.发明申请公开(公告)号：US20220139399A1
公开(公告)日：2022-05-05
申请号：US17577238
申请日：2022-01-17
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：US11322154B2
公开(公告)日：2022-05-03
申请号：US16703099
申请日：2019-12-04
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. At 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 transcribed customer service interaction.
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公开(公告)号：US20200035245A1
公开(公告)日：2020-01-30
申请号：US16587518
申请日：2019-09-30
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：US09875742B2
公开(公告)日：2018-01-23
申请号：US15006572
申请日：2016-01-26
Applicant: Verint Systems Ltd.
Inventor： Alex Gorodetski , Oana Sidi , Ron Wein , Ido Shapira
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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5.发明授权Speech analytics system and system and method for determining structured speech 有权用于确定结构化语音的语音分析系统和系统及方法公开(公告)号：US09401145B1
公开(公告)日：2016-07-26
申请号：US14270280
申请日：2014-05-05
Applicant: Verint Systems, Ltd.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira
CPC classification number: G10L15/20 , G10L15/19 , G10L15/197 , G10L15/26
Abstract: A method for converting speech to text in a speech analytics system is provided. The method includes receiving audio data containing speech made up of sounds from an audio source, processing the sounds with a phonetic module resulting in symbols corresponding to the sounds, and processing the symbols with a language module and occurrence table resulting in text. The method also includes determining a probability of correct translation for each word in the text, comparing the probability of correct translation for each word in the text to the occurrence table, and adjusting the occurrence table based on the probability of correct translation for each word in the text.
Abstract translation: 提供了一种在语音分析系统中将语音转换为文本的方法。 该方法包括接收包含来自音频源的声音的音频数据，用声音模块处理声音，产生与声音相对应的符号，以及用导致文本的语言模块和出现表处理符号。 该方法还包括确定文本中的每个单词的正确翻译的概率，将文本中的每个单词的正确翻译的概率与出现表进行比较，并且基于每个单词的正确翻译的概率来调整出现表 文本。
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Patent Agency Ranking
公开(公告)号：US20150066502A1
公开(公告)日：2015-03-05
申请号：US14291893
申请日：2014-05-30
Applicant: Verint Systems Ltd.
Inventor： Ran Achituv , Omer Ziv , Roni Romano , Ido Shapira , Daniel Baum
IPC: G10L15/065 , G10L15/14 , G10L15/26
CPC classification number: G10L15/065 , G06F17/30746 , G10L15/01 , G10L15/07 , G10L15/083 , G10L15/14 , G10L15/26
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.
Abstract translation: 用于自动转录模型适应的方法，系统和计算机可读介质包括从多个音频文件获得音频数据。 音频数据被转录以产生表示每个音频文件的多个转录替代品的至少一个音频文件转录。 语音分析应用于每个音频文件转录。 从每个音频文件的多个转录替代品中选择最佳转录。 计算出所选择的最佳转录数据。 从计算的统计信息创建一个适应模型。
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公开(公告)号：US20140142940A1
公开(公告)日：2014-05-22
申请号：US14084976
申请日：2013-11-20
Applicant: VERINT SYSTEMS LTD.
Inventor： Omer Ziv , Ran Achituv , Ido Shapira , Jeremie Dreyfuss
IPC: G10L15/26
CPC classification number: G10L17/005 , G10L17/02
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.
Abstract translation: 使用语言标签进行分类的系统和方法包括收集一组二维化的文本记录。 至少一个启发式算法被自动地应用于二进制的文本记录，以选择可能与识别的发言者组相关联的成绩单。 分析所选择的成绩单以创建至少一个语言模型。 语言模型被应用于被转录的音频数据，以将被转录的音频数据的一部分标记为被识别的发言者群说出来。 使用语言标签的进一步的二进制实施例可以用于在记录和转录的客户服务交互中标记代理人语音和客户语音。
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8.发明授权公开(公告)号：US11227603B2
公开(公告)日：2022-01-18
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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9.发明授权公开(公告)号：US10950241B2
公开(公告)日：2021-03-16
申请号：US16703206
申请日：2019-12-04
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：US10902856B2
公开(公告)日：2021-01-26
申请号：US16703245
申请日：2019-12-04
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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