关键词: 基频, 情感语音转换, 离散余弦变换, 高斯混合模型, 音节, 韵律短语

Abstract: A prosody conversion method is proposed for transforming neutral speech to emotional speech of Uyghur. The method uses the Discrete Cosine Transform（DCT） to parameterize the emotion fundamental frequency of the Uyghur syllables and prosodic phrases for the first time, which combining the Uyghur prosodic features and language features. Using the Gaussian Mixture Model（GMM） to train the joint characteristics of the neutral and emotional frequency, and then synthesize emotional speech with neutral speed and emotional speed. The listening test results show that emotional speed is more helpful to express the emotional speech. The objective evaluation and the listening test results show that method can actualize Uyghur emotional prosody conversion effectively, the conversion results of syllables and prosodic phrases of three emotions achieve accuracy of more than 75% in listening test, and the prosodic phrases is better than that of syllables.

Key words: fundamental frequency, emotional speech conversion, Discrete Cosine Transform（DCT）, Gaussian Mixture Model（GMM）, syllable, prosodic phrase