- 专利标题: Improving Speech Recognition with Speech Synthesis-based Model Adapation
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申请号: US17445537申请日: 2021-08-20
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公开(公告)号: US20230058447A1公开(公告)日: 2023-02-23
- 发明人: Andrew Rosenberg , Bhuvana Ramabhadran
- 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: G10L21/007
- IPC分类号: G10L21/007 ; G10L15/26 ; G10L25/30 ; G06N3/08
摘要:
A method for training a speech recognition model includes obtaining sample utterances of synthesized speech in a target domain, obtaining transcribed utterances of non-synthetic speech in the target domain, and pre-training the speech recognition model on the sample utterances of synthesized speech in the target domain to attain an initial state for warm-start training. After pre-training the speech recognition model, the method also includes warm-start training the speech recognition model on the transcribed utterances of non-synthetic speech in the target domain to teach the speech recognition model to learn to recognize real/human speech in the target domain.
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