- 专利标题: SPEECH RECOGNITION WITH SEQUENCE-TO-SEQUENCE MODELS
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申请号: US17448119申请日: 2021-09-20
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公开(公告)号: US20220005465A1公开(公告)日: 2022-01-06
- 发明人: Rohit Prakash Prabhavalkar , Zhifeng Chen , Bo Li , Chung-cheng Chiu , Kanury Kanishka Rao , Yonghui Wu , Ron J. Weiss , Navdeep Jaitly , Michiel A.u. Bacchiani , Tara N. Sainath , Jan Kazimierz Chorowski , Anjuli Patricia Kannan , Ekaterina Gonina , Patrick An Phu Nguyen
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 主分类号: G10L15/16
- IPC分类号: G10L15/16 ; G10L15/22 ; G10L15/02 ; G06N3/08 ; G10L15/06 ; G10L25/30
摘要:
A method for performing speech recognition using sequence-to-sequence models includes receiving audio data for an utterance and providing features indicative of acoustic characteristics of the utterance as input to an encoder. The method also includes processing an output of the encoder using an attender to generate a context vector, generating speech recognition scores using the context vector and a decoder trained using a training process, and generating a transcription for the utterance using word elements selected based on the speech recognition scores. The transcription is provided as an output of the ASR system.
公开/授权文献
- US12106749B2 Speech recognition with sequence-to-sequence models 公开/授权日:2024-10-01
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