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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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公开(公告)号：US09984706B2
公开(公告)日：2018-05-29
申请号：US14449770
申请日：2014-08-01
Applicant: Verint Systems Ltd.
Inventor： Ron Wein
IPC: G10L25/78
CPC classification number: G10L25/78
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：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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公开(公告)号：US20160329049A1
公开(公告)日：2016-11-10
申请号：US15217277
申请日：2016-07-22
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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Patent Agency Ranking
36.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：US20150039304A1
公开(公告)日：2015-02-05
申请号：US14449770
申请日：2014-08-01
Applicant: Verint Systems Ltd.
Inventor： Ron Wein
IPC: G10L25/78
CPC classification number: G10L25/78
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.
Abstract translation: 语音活动检测（VAD）是用于各种基于语音的应用的支持技术。 这里公开了一种也是语言无关的稳健的VAD算法。 而不是将音频的短片段分类为“语音”或“沉默”，因此本文所披露的VAD会雇用软判决机制。 VAD输出基于各种特征的语音存在概率。
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公开(公告)号：US11545139B2
公开(公告)日：2023-01-03
申请号：US16780296
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：US11227584B2
公开(公告)日：2022-01-18
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：US20200251095A1
公开(公告)日：2020-08-06
申请号：US16780320
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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