中文摘要：

在收集较大规模情感语音语料库基础上，分析了维吾尔语语音在韵律特征和音质特征方面的19种语境信息和6种情感特征参数，并利用STRAIGHT算法实现了情感特征参数的提取，最后利用分类回归树（CART）算法针对各个情感特征和中性向其它情感的转换特征进行了建模。实验结果表明，所提取情感特征能准确的区分各个情感类型，为实现中性语音转换成各种目标情感语音奠定了基础。

英文摘要：

Based on large-scale emotional Uyghur speech database, this paper analyzes 19 contextual infor- mations and 6 emotional prosodic features of the speech data. STRAIGHT algorithm is used to implement the extraction of emotional characteristic parameters, and finally the classification and regression tree （CART） algorithm is used to build up the individual models for each kind of emotional speech and models for emo- tional conversion from neutral to another given emotion. Experimental results show that the extracted emo- tional characteristics could be used to accurately distinguish various types of emotions. All this would lay a foundation for achieving the conversion of neutral speeches to various target emotional speeches.