发明授权
- 专利标题: Rich context modeling for text-to-speech engines
- 专利标题(中): 文本到语音引擎的丰富的上下文建模
-
申请号: US12629457申请日: 2009-12-02
-
公开(公告)号: US08340965B2公开(公告)日: 2012-12-25
- 发明人: Zhi-Jie Yan , Yao Qian , Frank Kao-Ping Soong
- 申请人: Zhi-Jie Yan , Yao Qian , Frank Kao-Ping Soong
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Corporation
- 当前专利权人: Microsoft Corporation
- 当前专利权人地址: US WA Redmond
- 代理机构: Lee & Hayes, PLLC
- 主分类号: G10L13/00
- IPC分类号: G10L13/00
摘要:
Embodiments of rich context modeling for speech synthesis are disclosed. In operation, a text-to-speech engine refines a plurality of rich context models based on decision tree-tied Hidden Markov Models (HMMs) to produce a plurality of refined rich context models. The text-to-speech engine then generates synthesized speech for an input text based at least on some of the plurality of refined rich context models.
公开/授权文献
- US20110054903A1 RICH CONTEXT MODELING FOR TEXT-TO-SPEECH ENGINES 公开/授权日:2011-03-03
信息查询