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公开(公告)号:US11862142B2
公开(公告)日:2024-01-02
申请号:US17391799
申请日:2021-08-02
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
IPC: G10L13/06 , G10L13/08 , G06N3/08 , G10L25/18 , G10L25/30 , G10L13/04 , G06N3/084 , G10L15/16 , G06N3/045
CPC classification number: G10L13/08 , G06N3/045 , G06N3/08 , G06N3/084 , G10L13/04 , G10L15/16 , G10L25/18 , G10L25/30
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US20210366463A1
公开(公告)日:2021-11-25
申请号:US17391799
申请日:2021-08-02
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US20200098350A1
公开(公告)日:2020-03-26
申请号:US16696101
申请日:2019-11-26
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US20190311708A1
公开(公告)日:2019-10-10
申请号:US16447862
申请日:2019-06-20
Applicant: Google LLC
Inventor: Samy Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US12190860B2
公开(公告)日:2025-01-07
申请号:US18516069
申请日:2023-11-21
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
IPC: G10L13/06 , G06N3/045 , G06N3/08 , G06N3/084 , G10L13/04 , G10L13/08 , G10L15/16 , G10L25/18 , G10L25/30
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US20240127791A1
公开(公告)日:2024-04-18
申请号:US18516069
申请日:2023-11-21
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
CPC classification number: G10L13/08 , G06N3/045 , G06N3/08 , G06N3/084 , G10L13/04 , G10L15/16 , G10L25/18 , G10L25/30
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US11107457B2
公开(公告)日:2021-08-31
申请号:US16696101
申请日:2019-11-26
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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公开(公告)号:US10573293B2
公开(公告)日:2020-02-25
申请号:US16447862
申请日:2019-06-20
Applicant: Google LLC
Inventor: Samuel Bengio , Yuxuan Wang , Zongheng Yang , Zhifeng Chen , Yonghui Wu , Ioannis Agiomyrgiannakis , Ron J. Weiss , Navdeep Jaitly , Ryan M. Rifkin , Robert Andrew James Clark , Quoc V. Le , Russell J. Ryan , Ying Xiao
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.
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