发明申请
US20090157409A1 METHOD AND APPARATUS FOR TRAINING DIFFERENCE PROSODY ADAPTATION MODEL, METHOD AND APPARATUS FOR GENERATING DIFFERENCE PROSODY ADAPTATION MODEL, METHOD AND APPARATUS FOR PROSODY PREDICTION, METHOD AND APPARATUS FOR SPEECH SYNTHESIS
审中-公开
用于培养不同前置适应模型的方法和装置，用于产生差异前置适应性模型的方法和装置，用于预测的方法和装置，用于语音合成的方法和装置
- 专利标题： METHOD AND APPARATUS FOR TRAINING DIFFERENCE PROSODY ADAPTATION MODEL, METHOD AND APPARATUS FOR GENERATING DIFFERENCE PROSODY ADAPTATION MODEL, METHOD AND APPARATUS FOR PROSODY PREDICTION, METHOD AND APPARATUS FOR SPEECH SYNTHESIS
- 专利标题（中）： 用于培养不同前置适应模型的方法和装置，用于产生差异前置适应性模型的方法和装置，用于预测的方法和装置，用于语音合成的方法和装置
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申请号： US12328514申请日： 2008-12-04
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公开(公告)号： US20090157409A1公开(公告)日： 2009-06-18
- 发明人: Yi Lifu , Li Jian , Lou Xiaoyan , Hao Jie
- 申请人： Yi Lifu , Li Jian , Lou Xiaoyan , Hao Jie
- 专利权人： KABUSHIKI KAISHA TOSHIBA
- 当前专利权人： KABUSHIKI KAISHA TOSHIBA
- 优先权： CN200710197104.6 20071204
- 主分类号： G10L13/00
- IPC分类号： G10L13/00 ; G10L21/00 ; G10L13/08
摘要：
A method includes, generating, for each parameter of the prosody vector, an initial parameter prediction model with a plurality of attributes related to difference prosody prediction and at least part of attribute combinations of the plurality of attributes, in which each of the plurality of attributes and the attribute combinations is included as an item, calculating importance of each item in the parameter prediction model, deleting the item having the lowest importance calculated, re-generating a parameter prediction model with the remaining items, determining whether the re-generated parameter prediction model is an optimal model, and repeating the step of calculating importance and the steps following the step of calculating importance with the re-generated parameter prediction model, if the re-generated parameter prediction model is determined as not an optimal model, wherein the difference prosody vector and all parameter prediction models of the difference prosody vector constitute the difference prosody adaptation model.
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