- 专利标题: Text normalization based on a data-driven learning network
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申请号: US15673574申请日: 2017-08-10
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公开(公告)号: US10395654B2公开(公告)日: 2019-08-27
- 发明人: Ladan Golipour , Matthias Neeracher , Ramya Rasipuram
- 申请人: Apple Inc.
- 申请人地址: US CA Cupertino
- 专利权人: Apple Inc.
- 当前专利权人: Apple Inc.
- 当前专利权人地址: US CA Cupertino
- 代理机构: Dentons US LLP
- 主分类号: G10L15/00
- IPC分类号: G10L15/00 ; G10L15/22 ; G10L15/18 ; G10L15/16 ; G10L15/26 ; G10L15/30 ; G10L13/08
摘要:
Systems and processes for operating an intelligent automated assistant to perform text-to-speech conversion are provided. An example method includes, at an electronic device having one or more processors, receiving a text corpus comprising unstructured natural language text. The method further includes generating a sequence of normalized text based on the received text corpus; and generating a pronunciation sequence representing the sequence of the normalized text. The method further includes causing an audio output to be provided to the user based on the pronunciation sequence. At least one of the sequence of normalized text and the pronunciation sequence is generated based on a data-driven learning network.
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