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公开(公告)号：US20180218738A1
公开(公告)日：2018-08-02
申请号：US15876778
申请日：2018-01-22
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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公开(公告)号：US20160217793A1
公开(公告)日：2016-07-28
申请号：US15006575
申请日：2016-01-26
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.
Abstract translation: 这里公开的是使用第一遍盲目校正和产生说话者统计模型的二次盲目校正对音频数据进行着色的方法，其中第一次盲盲二值化处于每帧的基础上，而第二次盲目校正位于 每个单词基础的方法，以及仅基于每个音频会话中的扬声器的统计模型为公共扬声器创建声学签名的方法。
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3.发明申请公开(公告)号：US20160217128A1
公开(公告)日：2016-07-28
申请号：US15007703
申请日：2016-01-27
Applicant: Verint Systems Ltd.
Inventor： Daniel Baum , Uri Segal , Ron Wein , Oana Sidi
IPC: G06F17/27
CPC classification number: G06F17/2775 , G06F16/367 , G06F17/277
Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.
Abstract translation: 一种用于通过处理通信数据来扩展初始本体的方法，其中初始本体是包括一组实体的语言元素的结构表示，一组术语，一组术语 - 实体关联，一组实体关联规则 ，一组抽象关系，以及一组关系实例。 一种用于从输入文档集中提取一组重要短语和一组重要短语共同出现的方法还包括利用这些术语来识别通信数据训练集内的关系，其中关系是出现的一对术语 彼此接近。
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公开(公告)号：US10147418B2
公开(公告)日：2018-12-04
申请号：US15676306
申请日：2017-08-14
Applicant: Verint Systems Ltd.
Abstract: Systems and methods automatedly evaluate a transcription quality. Audio data is obtained. The audio data is segmented into a plurality of utterances with a voice activity detector operating on a computer processor. The plurality of utterances are transcribed into at least one word lattice with a large vocabulary continuous speech recognition system operating on the processor. A minimum Bayes risk decoder is applied to the at least one word lattice to create at least one confusion network. At least conformity ratio is calculated from the at least one confusion network.
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公开(公告)号：US09875743B2
公开(公告)日：2018-01-23
申请号：US15006575
申请日：2016-01-26
Applicant: Verint Systems Ltd.
Inventor： Alex Gorodetski , Ido Shapira , Ron Wein , Oana Sidi
IPC: G10L15/00 , G10L15/06 , G10L17/00 , G10L17/20 , G10L17/04 , G10L17/16 , G10L17/02 , G10L25/84 , G10L15/26
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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Patent Agency Ranking
公开(公告)号：US20160365089A1
公开(公告)日：2016-12-15
申请号：US15180325
申请日：2016-06-13
Applicant: Verint Systems Ltd.
Abstract: Systems and methods automatedly evaluate a transcription quality. Audio data is obtained. The audio data is segmented into a plurality of utterances with a voice activity detector operating on a computer processor. The plurality of utterances are transcribed into at least one word lattice with a large vocabulary continuous speech recognition system operating on the processor. A minimum Bayes risk decoder is applied to the at least one word lattice to create at least one confusion network. At least conformity ratio is calculated from the at least one contusion network.
Abstract translation: 系统和方法自动评估转录质量。 获得音频数据。 音频数据被分割成具有在计算机处理器上操作的语音活动检测器的多个话语。 多个话语被转录成具有在处理器上操作的大词汇连续语音识别系统的至少一个单词格。 最小贝叶斯风险解码器被应用于至少一个单词网格以创建至少一个混淆网络。 至少一个挫伤网络计算出至少一致性比例。
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公开(公告)号：US09368106B2
公开(公告)日：2016-06-14
申请号：US14319853
申请日：2014-06-30
Applicant: Verint Systems Ltd.
Abstract: Systems and methods automatedly evaluate a transcription quality. Audio data is obtained. The audio data is segmented into a plurality of utterances with a voice activity detector operating on a computer processor. The plurality of utterances are transcribed into at least one word lattice with a large vocabulary continuous speech recognition system operating on the processor. A minimum Bayes risk decoder is applied to the at least one word lattice to create at least one confusion network. At least conformity ratio is calculated from the at least one confusion network.
Abstract translation: 系统和方法自动评估转录质量。 获得音频数据。 音频数据被分割成具有在计算机处理器上操作的语音活动检测器的多个话语。 多个话语被转录成具有在处理器上操作的大词汇连续语音识别系统的至少一个单词格。 最小贝叶斯风险解码器被应用于至少一个单词网格以创建至少一个混淆网络。 至少一个混淆网络计算出至少一致性比例。
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公开(公告)号：US11663411B2
公开(公告)日：2023-05-30
申请号：US17225589
申请日：2021-04-08
Applicant: Verint Systems Ltd.
Inventor： Daniel Mark Baum , Uri Segal , Ron Wein , Oana Sidi
IPC: G06F16/36 , G06F40/289 , G06F40/284
CPC classification number: G06F40/289 , G06F16/367 , G06F40/284
Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.
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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：US20180158464A1
公开(公告)日：2018-06-07
申请号：US15839190
申请日：2017-12-12
Applicant: Verint Systems Ltd.
CPC classification number: G10L17/06 , G10L15/02 , G10L15/26 , G10L17/02 , G10L17/04 , G10L17/16 , G10L25/78 , G10L2015/025 , H04M3/5175 , H04M2201/41 , H04M2203/303
Abstract: In a method of diarization of audio data, audio data is segmented into a plurality of utterances. Each utterance is represented as an utterance model representative of a plurality of feature vectors. The utterance models are clustered. A plurality of speaker models are constructed from the clustered utterance models. A hidden Markov model is constructed of the plurality of speaker models. A sequence of identified speaker models is decoded.
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