- 专利标题: Convolutional, long short-term memory, fully connected deep neural networks
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申请号: US14847133申请日: 2015-09-08
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公开(公告)号: US10783900B2公开(公告)日: 2020-09-22
- 发明人: Tara N. Sainath , Andrew W. Senior , Oriol Vinyals , Hasim Sak
- 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
- 代理机构: Honigman LLP
- 代理商 Brett A. Krueger
- 主分类号: G10L25/30
- IPC分类号: G10L25/30 ; G10L15/16 ; G06N3/04 ; G10L15/02
摘要:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying the language of a spoken utterance. One of the methods includes receiving input features of an utterance; and processing the input features using an acoustic model that comprises one or more convolutional neural network (CNN) layers, one or more long short-term memory network (LSTM) layers, and one or more fully connected neural network layers to generate a transcription for the utterance.
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