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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:US20210134264A1
公开(公告)日:2021-05-06
申请号:US17146160
申请日:2021-01-11
Applicant: Google LLC
Inventor: Ioannis Agiomyrgiannakis
IPC: G10L13/07 , G10L13/08 , G10L13/06 , G10L13/047
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting units for speech synthesis. One of the methods includes determining a sequence of text units that each represent a respective portion of text for speech synthesis; and determining multiple paths of speech units that each represent the sequence of text units by selecting a first speech unit that includes speech synthesis data representing a first text unit; selecting multiple second speech units including speech synthesis data representing a second text unit based on (i) a join cost to concatenate the second speech unit with a first speech unit and (ii) a target cost indicating a degree that the second speech unit corresponds to the second text unit; and defining paths from the selected first speech unit to each of the multiple second speech units to include in the multiple paths of speech units.
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公开(公告)号:US20200312296A1
公开(公告)日:2020-10-01
申请号:US16900839
申请日:2020-06-12
Applicant: Google LLC
Inventor: Ioannis Agiomyrgiannakis , Fergus James Henderson
IPC: G10L13/033 , G06F3/16 , G10L13/10
Abstract: A device may identify a plurality of sources for outputs that the device is configured to provide. The plurality of sources may include at least one of a particular application in the device, an operating system of the device, a particular area within a display of the device, or a particular graphical user interface object. The device may also assign a set of distinct voices to respective sources of the plurality of sources. The device may also receive a request for speech output. The device may also select a particular source that is associated with the requested speech output. The device may also generate speech having particular voice characteristics of a particular voice assigned to the particular source.
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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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公开(公告)号:US10249289B2
公开(公告)日:2019-04-02
申请号:US15649311
申请日:2017-07-13
Applicant: Google LLC
Inventor: Byung Ha Chun , Javier Gonzalvo , Chun-an Chan , Ioannis Agiomyrgiannakis , Vincent Ping Leung Wan , Robert Andrew James Clark , Jakub Vit
IPC: G10L13/06 , G10L19/00 , G10L25/30 , G10L13/027 , G10L13/047
Abstract: Methods, systems, and computer-readable media for text-to-speech synthesis using an autoencoder. In some implementations, data indicating a text for text-to-speech synthesis is obtained. Data indicating a linguistic unit of the text is provided as input to an encoder. The encoder is configured to output speech unit representations indicative of acoustic characteristics based on linguistic information. A speech unit representation that the encoder outputs is received. A speech unit is selected to represent the linguistic unit, the speech unit being selected from among a collection of speech units based on the speech unit representation output by the encoder. Audio data for a synthesized utterance of the text that includes the selected speech unit is provided.
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