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公开(公告)号：US11430430B2
公开(公告)日：2022-08-30
申请号：US16780309
申请日：2020-02-03
Applicant: Verint Systems Ltd.
Inventor： Jeffrey Michael Iannone , Ron Wein , Omer Ziv
Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.
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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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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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Patent Agency Ranking
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：US20200168209A1
公开(公告)日：2020-05-28
申请号：US16780340
申请日：2020-02-03
Applicant: Verint Systems Ltd.
Inventor： Jeffery Michael Iannone , Ron Wein , Omer Ziv
Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.
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公开(公告)号：US10665253B2
公开(公告)日：2020-05-26
申请号：US15959743
申请日：2018-04-23
Applicant: Verint Systems Ltd.
Inventor： Ron Wein
Abstract: Voice activity detection (VAD) is an enabling technology for a variety of speech based applications. Herein disclosed is a robust VAD algorithm that is also language independent. Rather than classifying short segments of the audio as either “speech” or “silence”, the VAD as disclosed herein employees a soft-decision mechanism. The VAD outputs a speech-presence probability, which is based on a variety of characteristics.
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公开(公告)号：US10573297B2
公开(公告)日：2020-02-25
申请号：US15217277
申请日：2016-07-22
Applicant: Verint Systems Ltd.
Inventor： Jeffrey Michael Iannone , Ron Wein , Omer Ziv
Abstract: Systems and methods of script identification in audio data obtained from audio data. The audio data is segmented into a plurality of utterances. A script model representative of a script text is obtained. The plurality of utterances are decoded with the script model. A determination is made if the script text occurred in the audio data.
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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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