联合自动语音识别和说话人二值化.

联合自动语音识别和说话人二值化

Номер патента: CN113646835A
Опубликовано: 12-11-2021
Автор(ы): 伊扎克·沙弗兰, 劳伦特·艾谢弗, 哈根·索尔陶
Принадлежит: Google LLC
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

Mixture model attention for flexible streaming and non-streaming automatic speech recognition

Номер патента: US12136415B2. Автор: Bhuvana Ramabhadran,Pedro J. Moreno Mengibar,Kartik Audhkhasi,Tongzhou Chen. Владелец: Google LLC. Дата публикации: 2024-11-05.

Two-pass end to end speech recognition

Номер патента: US12073824B2. Автор: Wei Li,Bo Li,Tara N. Sainath,Ruoming Pang,Yanzhang He,Antoine Jean Bruguier,Shuo-yiin Chang,Arun Narayanan. Владелец: Google LLC. Дата публикации: 2024-08-27.

Mixture model attention for flexible streaming and non-streaming automatic speech recognition

Номер патента: EP4295357A1. Автор: Bhuvana Ramabhadran,Pedro J. Moreno Mengibar,Kartik Audhkhasi,Tongzhou Chen. Владелец: Google LLC. Дата публикации: 2023-12-27.

Mixture model attention for flexible streaming and non-streaming automatic speech recognition

Номер патента: US12014729B2. Автор: Bhuvana Ramabhadran,Pedro J. Moreno Mengibar,Kartik Audhkhasi,Tongzhou Chen. Владелец: Google LLC. Дата публикации: 2024-06-18.

Efficiency adjustable speech recognition system

Номер патента: EP4330960A1. Автор: Xie Chen,Jinyu Li,Yu Wu,Shujie Liu,Chengyi Wang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-03-06.

Efficiency adjustable speech recognition system

Номер патента: US11715462B2. Автор: Xie Chen,Jinyu Li,Yu Wu,Shujie Liu,Chengyi Wang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-08-01.

System and method for a multiclass approach for confidence modeling in automatic speech recognition systems

Номер патента: AU2019270168B2. Автор: Aravind GANAPATHIRAJU,Yingyi TAN,Ramasubramanian Sundaram. Владелец: Genesys Cloud Services Holdings II LLC. Дата публикации: 2024-01-04.

Two-pass end to end speech recognition

Номер патента: EP3966811A1. Автор: Wei Li,Bo Li,Ruoming Pang,Yanzhang He,Antoine Jean Bruguier,Shuo-yiin Chang,Arun Narayanan,Tara C. SAINATH. Владелец: Google LLC. Дата публикации: 2022-03-16.

Two-pass end to end speech recognition

Номер патента: WO2021113443A1. Автор: Wei Li,Bo Li,Ruoming Pang,Yanzhang He,Antoine Jean Bruguier,Shuo-yiin Chang,Arun Narayanan,Tara C. SAINATH. Владелец: Google LLC. Дата публикации: 2021-06-10.

Token-wise training for attention-based end-to-end speech recognition

Номер патента: WO2020167592A1. Автор: Dong Yu,Peidong Wang,Chao WENG,Jia CUI. Владелец: Jia CUI. Дата публикации: 2020-08-20.

Token-wise training for attention based end-to-end speech recognition

Номер патента: US20200265830A1. Автор: Dong Yu,Peidong Wang,Chao WENG,Jia CUI. Владелец: Tencent America LLC. Дата публикации: 2020-08-20.

Token-wise training for attention based end-to-end speech recognition

Номер патента: US20210264901A1. Автор: Dong Yu,Peidong Wang,Chao WENG,Jia CUI. Владелец: Tencent America LLC. Дата публикации: 2021-08-26.

Efficiency adjustable speech recognition system

Номер патента: US20220351718A1. Автор: Xie Chen,Jinyu Li,Yu Wu,Shujie Liu,Chengyi Wang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2022-11-03.

Efficiency adjustable speech recognition system

Номер патента: US20230317063A1. Автор: Xie Chen,Jinyu Li,Yu Wu,Shujie Liu,Chengyi Wang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-10-05.

Efficiency adjustable speech recognition system

Номер патента: US12020694B2. Автор: Xie Chen,Jinyu Li,Yu Wu,Shujie Liu,Chengyi Wang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-06-25.

Efficiency adjustable speech recognition system

Номер патента: WO2022231809A1. Автор: Xie Chen,Jinyu Li,Yu Wu,Shujie Liu,Chengyi Wang. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2022-11-03.

Adaptive visual speech recognition

Номер патента: AU2022292104B2. Автор: Joao Ferdinando GOMES DE FREITAS,Ioannis Alexandros ASSAEL,Brendan SHILLINGFORD. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-08-01.

Adaptive visual speech recognition

Номер патента: AU2022292104A1. Автор: Joao Ferdinando GOMES DE FREITAS,Ioannis Alexandros ASSAEL,Brendan SHILLINGFORD. Владелец: DeepMind Technologies Ltd. Дата публикации: 2023-09-21.

Adaptive visual speech recognition

Номер патента: US20240265911A1. Автор: Joao Ferdinando GOMES DE FREITAS,Ioannis Alexandros ASSAEL,Brendan SHILLINGFORD. Владелец: DeepMind Technologies Ltd. Дата публикации: 2024-08-08.

Ai speech recognition system capable of selecting models

Номер патента: US20220044674A1. Автор: Shaw Hwa Hwang,Yen Chun Huang,Yuan Fu Liao,Sin Horng CHEN,Yih Ru WANG,Bing Chih Yao,Cheng Yu Yeh,You Shuo CHEN,Yao Hsing Chung,Chi Jung Huang,Li Te Shen,Ning Yun KU. Владелец: National Chiao Tung University NCTU. Дата публикации: 2022-02-10.

Method for training speech recognition model, device and storage medium

Номер патента: US12033616B2. Автор: Zhijie Chen,Xiaoyin Fu,Sheng QIAN,Mingxin LIANG,Junyao Shao,Qiguang Zang,Huanxin Zheng. Владелец: Beijing Baidu Netcom Science And Technology Co Ltd. Дата публикации: 2024-07-09.

Class based learning for transcription errors in speech recognition tasks

Номер патента: US20190213997A1. Автор: Jonathan Lenchner,Maharaj Mukherjee,Andrew Aaron,Shang Guo. Владелец: International Business Machines Corp. Дата публикации: 2019-07-11.

Speech recognition with sequence-to-sequence models

Номер патента: US12106749B2. Автор: Bo Li,Tara N. Sainath,Zhifeng Chen,Michiel A. U. Bacchiani,Yonghui Wu,Navdeep Jaitly,Ron J. Weiss,Patrick An Phu Nguyen,Rohit Prakash PRABHAVALKAR,Chung-Cheng Chiu,Kanury Kanishka Rao,Anjuli Patricia KANNAN,Jan Kazimierz Chorowski,Ekaterina Gonina. Владелец: Google LLC. Дата публикации: 2024-10-01.

Unsupervised learning system and method for performing weighting for improvement in speech recognition performance and recording medium for performing the method

Номер патента: US20190392818A1. Автор: Jeehye LEE. Владелец: LG ELECTRONICS INC. Дата публикации: 2019-12-26.

Large-scale language model data selection for rare-word speech recognition

Номер патента: US12014725B2. Автор: Tara N. Sainath,Ronny HUANG. Владелец: Google LLC. Дата публикации: 2024-06-18.

Predicting word boundaries for on-device batching of end-to-end speech recognition models

Номер патента: EP4399704A1. Автор: Tara N. Sainath,Jiahui YU,Yanzhang He,Shaan Jagdeep Patrick Bijwadia,Shuo-yiin Chang. Владелец: Google LLC. Дата публикации: 2024-07-17.

Large-Scale Language Model Data Selection for Rare-Word Speech Recognition

Номер патента: US20240290323A1. Автор: Tara N. Sainath,Wenqian Ronny Huang. Владелец: Google LLC. Дата публикации: 2024-08-29.

Method and apparatus for training a speech recognition model, electronic device and storage medium

Номер патента: EP4287182A1. Автор: WEI Kang,LONG Lin,Liyong GUO,Daniel Povey,Fangjun Kuang,Zengwei Yao,Mingshuang Luo,Quandong WANG,Yuxiang Kong. Владелец: Beijing Xiaomi Mobile Software Co Ltd. Дата публикации: 2023-12-06.

Method of training speech recognition model, electronic device and storage medium

Номер патента: US20230386448A1. Автор: Povey Daniel,WEI Kang,LONG Lin,Liyong GUO,Fangjun Kuang,Zengwei Yao,Mingshuang Luo,Quandong WANG,Yuxiang Kong. Владелец: Beijing Xiaomi Mobile Software Co Ltd. Дата публикации: 2023-11-30.

Speech recognition method and apparatus with cascaded hidden layers and speech segments, computer device, and computer-readable storage medium

Номер патента: US12112743B2. Автор: BO LIU,Xilin ZHANG. Владелец: Tencent Technology Shenzhen Co Ltd. Дата публикации: 2024-10-08.

Learning transcription errors in speech recognition tasks

Номер патента: US20190213996A1. Автор: Jonathan Lenchner,Maharaj Mukherjee,Andrew Aaron,Shang Guo. Владелец: International Business Machines Corp. Дата публикации: 2019-07-11.

Speech recognition method, apparatus and device, and storage medium

Номер патента: EP4156176A1. Автор: Si Wei,Cong Liu,Jia Pan,Qingfeng Liu,Shifu XIONG,Jianqing Gao. Владелец: iFlytek Co Ltd. Дата публикации: 2023-03-29.

Electronic device for performing speech recognition and operation method thereof

Номер патента: US20240135925A1. Автор: Jungin LEE,Gajin SONG,Hoseon SHIN,Gilho LEE,Seokyeong Jeong. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-04-25.

System and method for performing automatic speech recognition system parameter adjustment via machine learning

Номер патента: US11972753B2. Автор: Yang Sun,Daniel Willett,Paul Joseph Vozila,Puming Zhan. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-04-30.

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Номер патента: WO2023172331A1. Автор: Vikas Joshi,Rupeshkumar Rasiklal MEHTA,Purvi AGRAWAL,Aditya Rajesh PATIL. Владелец: Microsoft Technology Licensing, LLC.. Дата публикации: 2023-09-14.

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Unsupervised automatic speech recognition

Номер патента: WO2020163157A1. Автор: Dong Yu,Chengzhu YU,Jianshu Chen,Chih-Kuan YEH. Владелец: Chengzhu YU. Дата публикации: 2020-08-13.

Unsupervised automatic speech recognition

Номер патента: US20200258497A1. Автор: Dong Yu,Chengzhu YU,Jianshu Chen,Chih-Kuan YEH. Владелец: Tencent America LLC. Дата публикации: 2020-08-13.

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Номер патента: US20230343332A1. Автор: Tara N. Sainath,Charles Caleb PEYSER,Shuo-yiin Chang,Rohit Prakash PRABHAVALKAR,David Rybach,Zhiyun LU,Ronny HUANG,Cyril Allauzen. Владелец: Google LLC. Дата публикации: 2023-10-26.

Code-Mixed Speech Recognition Using Attention and Language-Specific Joint Analysis

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Dynamic domain-adapted automatic speech recognition system

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Recognition of out-of-vocabulary words in direct acoustics-to-word speech recognition using acoustic word embedding

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4-bit conformer with accurate quantization training for speech recognition

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Fully managed and continuously trained automatic speech recognition service

Номер патента: WO2019103936A1. Автор: Vladimir ZHUKOV,Swaminathan Sivasubramanian,Stefano Stefani,Ashish Singh,Vasanth Philomin,Deepikaa Suresh,Vikram Sathyanarayana Anbazhagan,Rajkumar Gulabani,Praveen Kumar Akarapu. Владелец: Amazon Technologies, Inc.. Дата публикации: 2019-05-31.

Speech recognition apparatus and method

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Training set generation for speech recognition model

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Training set generation for speech recognition model

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Multistage curriculum training framework for acoustic-to-word speech recognition

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