Contribution on Gaussian Mixture Model Order Determination for Voice Conversion

被引：0

作者：

Ben Amara, Ahmed ^{[1
]}

Ben Jebara, Sofia ^{[1
]}

机构：

[1] Univ Carthage, Ecole Super Commun Tunis, COSIM Lab, Ariana 2088, Tunisia

来源：

9TH INTERNATIONAL SYMPOSIUM ON SIGNAL, IMAGE, VIDEO AND COMMUNICATIONS (ISIVC 2018) | 2018年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper adresses one of the problems in voice conversion system design: the choice of the number of Gaussian components used to determine the conversion function. The adopted strategy integrates three steps that use i) common criteria of Gaussian mixture model order determination, ii) speech quality criteria for converted speech and iii) a statistical analysis based on ANOVA and Bonferroni test to decide on speech quality difference for several values of the number of Gaussian components. The proposed solution is validated for phonemes conversion, namely healthy /A/ phoneme conversion to healthy /I/ phoneme conversion and pathological /A/ phoneme conversion to healthy /A/ phoneme conversion.

引用

页码：87 / 92

页数：6

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