文章在分析语音合成、语音转换原理和实现方法的基础上,将这两种技术相结合,设计实现了一种具有更多人类个性特征的语音合成转换系统。完成了基于Microso在SAPI5.1的文语转换,设计实现了基于高斯混合模型GMM和残差预测的语音转换系统,并对该系统进行了主客观评价;理论分析和实验结果表明’了本文设计系统的有效性。
This paper has fulfilled a conversion system of speech synthesis with more individual characteristics, combining with the technologies of speech synthesis and voice conversion. Text-to-speech conversion is completed based on Microsoft SAPI 5.1, then a voice conversion system is designed based on gaussian mixture model GMM and residual prediction. And this system performance are evaluated using subjective and objective methods; Theoretical analysis and experimental results show that the system is more effective.