Invention Application
- Patent Title: Phonemes And Graphemes for Neural Text-to-Speech
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Application No.: US17643684Application Date: 2021-12-10
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Publication No.: US20220310059A1Publication Date: 2022-09-29
- Inventor: Ye Jia , Byungha Chun , Yu Zhang , Jonathan Shen , Yonghui Wu
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G10L13/08
- IPC: G10L13/08 ; G06F40/279 ; G06F40/263 ; G06N3/08

Abstract:
A method includes receiving a text input including a sequence of words represented as an input encoder embedding. The input encoder embedding includes a plurality of tokens, with the plurality of tokens including a first set of grapheme tokens representing the text input as respective graphemes and a second set of phoneme tokens representing the text input as respective phonemes. The method also includes, for each respective phoneme token of the second set of phoneme tokens: identifying a respective word of the sequence of words corresponding to the respective phoneme token and determining a respective grapheme token representing the respective word of the sequence of words corresponding to the respective phoneme token. The method also includes generating an output encoder embedding based on a relationship between each respective phoneme token and the corresponding grapheme token determined to represent a same respective word as the respective phoneme token.
Public/Granted literature
- US12020685B2 Phonemes and graphemes for neural text-to-speech Public/Granted day:2024-06-25
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