Design and Implementation of Voice Conversion System Based on GMM and ANN

被引：0
|
作者：
Yang, Man [1 ]
Que, Dashun [1 ]
Li, Bei [1 ]
机构：
[1] Wuhan Univ Technol, Informat Engn Coll, Wuhan 430063, Peoples R China
来源：
MULTIMEDIA AND SIGNAL PROCESSING | 2012年 / 346卷
关键词：
Voice conversion; GMM; ANN; residual; pitch;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Voice conversion has become one current researching hotspot in speech signal processing. The article designs and establishes a voice conversion system based on Gaussian mixture model (GMM) and Artificial Neural Network (ANN) after researching the existing voice conversion algorithms. The core is to obtain respectively three mapping rules by training spectral envelope and its residual with GMM, and pitch contrail with BP network. And the voice is transformed according to the three mapping rules above. Finally, the algorithm simulation, the system implementation and algorithm performance evaluating of voice conversion is completed. The theoretic analysis and simulating results reveal that the algorithm and the system of voice conversion are effective.
引用
收藏
页码：624 / 631
页数：8
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