IMPROVING VOICE QUALITY OF HMM-BASED SPEECH SYNTHESIS USING VOICE CONVERSION METHOD

被引:0
作者
Jiao, Yishan [1 ]
Xie, Xiang [1 ]
Na, Xingyu [1 ]
Tu, Ming [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
来源
2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年
关键词
HMM-based speech synthesis; voice conversion; local linear transformation; temporal decomposition;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
HMM-based speech synthesis system (HTS) often generates buzzy and muffled speech. Such degradation of voice quality makes synthetic speech sound robotically rather than naturally. From this point, we suppose that synthetic speech is in a different speaker space apart from the original. We propose to use voice conversion method to transform synthetic speech toward the original so as to improve its quality. Local linear transformation (LLT) combined with temporal decomposition (TD) is proposed as the conversion method. It can not only ensure smooth spectral conversion but also avoid over-smoothing problem. Moreover, we design a robust spectral selection and modification strategy to make the modified spectra stable. Preference test shows that the proposed method can improve the quality of HMM-based speech synthesis.
引用
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页数:5
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