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公开(公告)号：US09633650B2
公开(公告)日：2017-04-25
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: G10L15/26 , G10L15/065 , G06F17/30 , G10L15/07 , G10L15/08
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.
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公开(公告)号：US20170098445A1
公开(公告)日：2017-04-06
申请号：US15332411
申请日：2016-10-24
Applicant: Verint Systems Ltd.
Inventor： Ran Achituv , Omer Ziv , Ido Shapira , Daniel Baum
IPC: G10L15/197 , G10L15/08 , G10L15/06
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 tile transcriptions. A quality of the plurality of audio file transcriptions is evaluated. At least one best transcription from a plurality of audio tile 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.
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公开(公告)号：US09503579B2
公开(公告)日：2016-11-22
申请号：US14158363
申请日：2014-01-17
Applicant: Verint Systems Ltd.
Inventor： Joseph Watson , Christopher J. Jeffs , Oren Stern , Galia Zacay , Omer Ziv
CPC classification number: H04M3/5175 , G06Q10/0631 , H04M3/42221 , H04M3/5133 , H04M3/5183 , H04M2201/41 , H04M2201/60 , H04M2203/401 , H04M2203/556
Abstract: A method of evaluating scripts in an interpersonal communication includes monitoring a customer service interaction. At least one portion of a script is identified. At least one script requirement is determined. A determination is made whether the at least one portion of the script meets the at least one script requirement. An alert is generated indicative of a non-compliant script.
Abstract translation: 评估人际沟通中的脚本的方法包括监视客户服务交互。 脚本的至少一部分被识别。 确定至少一个脚本要求。 确定脚本的至少一部分是否满足至少一个脚本需求。 产生指示不兼容脚本的警报。
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公开(公告)号：US11380333B2
公开(公告)日：2022-07-05
申请号：US16703143
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：US11367450B2
公开(公告)日：2022-06-21
申请号：US16703030
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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Patent Agency Ranking
公开(公告)号：US10950242B2
公开(公告)日：2021-03-16
申请号：US16703274
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：US20210006559A1
公开(公告)日：2021-01-07
申请号：US16916433
申请日：2020-06-30
Applicant: Verint Systems Ltd.
Inventor： Yitshak Yishay , Omer Ziv , Itsik Horovitz , Shlomo Rothschild
IPC: H04L29/06
Abstract: A system for identifying related pairs of information items. In a context, monitoring devices acquire various information items by monitoring people over time. Such information items may include imaged features of the people, alphanumeric identifiers such as IMSIs, and/or the certain types of events. The system identifies, based on the monitored information, indications of relatedness, each of which indicates that a respective pair of the information items may be related to one another with respect to certain predefined criteria. For example, the processor may identify instances of copresence, in each of which a pair of information items were exhibited at approximately the same time and at approximately the same location. In response to identifying a sufficient number of indications of relatedness for any particular pair, the processor may hypothesize that the pair are related to one another.
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公开(公告)号：US10692500B2
公开(公告)日：2020-06-23
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：US20200043501A1
公开(公告)日：2020-02-06
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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公开(公告)号：US10522153B2
公开(公告)日：2019-12-31
申请号：US16170289
申请日：2018-10-25
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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