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公开(公告)号：US20180068651A1
公开(公告)日：2018-03-08
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：US09747890B2
公开(公告)日：2017-08-29
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 confusion network.
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13.发明授权公开(公告)号：US09460722B2
公开(公告)日：2016-10-04
申请号：US14319860
申请日：2014-06-30
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.
Abstract translation: 在音频数据的分类方法中，将音频数据分割为多个话语。 每个话语被表示为代表多个特征向量的话语模型。 话语模型是聚类的。 从群集话语模型构建多个说话者模型。 由多个扬声器模型构成隐马尔可夫模型。 已识别的扬声器模型的序列被解码。
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公开(公告)号：US11030406B2
公开(公告)日：2021-06-08
申请号：US15007703
申请日：2016-01-27
Applicant: Verint Systems Ltd.
Inventor： Daniel Baum , Uri Segal , Ron Wein , Oana Sidi
IPC: G06F16/36 , G06F40/289 , 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：US10109280B2
公开(公告)日：2018-10-23
申请号：US15839190
申请日：2017-12-12
Applicant: Verint Systems Ltd.
IPC: G10L15/26 , G10L17/06 , G10L17/16 , G10L25/78 , G10L15/02 , G10L17/04 , H04M3/51 , G10L17/02 , G10L15/00
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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Patent Agency Ranking
公开(公告)号：US09881617B2
公开(公告)日：2018-01-30
申请号：US15254326
申请日：2016-09-01
Applicant: Verint Systems Ltd.
IPC: G10L15/26 , G10L17/06 , G10L17/02 , G10L17/16 , G10L15/02 , G10L17/04 , G10L25/78 , H04M3/51 , G10L15/00
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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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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18.发明申请公开(公告)号：US20170053653A1
公开(公告)日：2017-02-23
申请号：US15254326
申请日：2016-09-01
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.
Abstract translation: 在音频数据的分类方法中，将音频数据分割为多个话语。 每个话语被表示为代表多个特征向量的话语模型。 话语模型是聚类的。 从群集话语模型构建多个说话者模型。 由多个扬声器模型构成隐马尔可夫模型。 已识别的扬声器模型的序列被解码。
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公开(公告)号：US20150025887A1
公开(公告)日：2015-01-22
申请号：US14319860
申请日：2014-06-30
Applicant: VERINT SYSTEMS LTD.
IPC: G10L15/06
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.
Abstract translation: 在音频数据的分类方法中，将音频数据分割为多个话语。 每个话语被表示为代表多个特征向量的话语模型。 话语模型是聚类的。 从群集话语模型构建多个说话者模型。 由多个扬声器模型构成隐马尔可夫模型。 已识别的扬声器模型的序列被解码。
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公开(公告)号：US11636860B2
公开(公告)日：2023-04-25
申请号：US16934455
申请日：2020-07-21
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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