Abstract：The voice conversion system framework is introduced in this paper. Further, the conventional codebook mapping method for voice conversion is discussed. This paper point out that the conventional codebook mapping method, which calculates the weighting coefficients based on whole codebooks, tends to generate overly smoothed effect on converted speech spectrum. So the converted speech quality is decreased greatly. To address this problem, a novel voice conversion method based on codebook mapping with phonemetied weighting is presented. And a new decision tree based prosodic conversion method is also proposed. The experiments show that the proposed methods can effectively convert speaker's individuality while maintaining high speech quality with only a small amount of training data.
王子祥，戴礼荣，王玉平，王仁华. 基于音素绑定码本映射的说话人声音转换方法[J]. 模式识别与人工智能, 2006, 19(3): 300-306.
WANG ZiXiang, DAI LiRong, WANG YuPing, WANG RenHua. A Novel Voice Conversion Method Based on Codebook Mapping with PhonemeTied Weighting. , 2006, 19(3): 300-306.
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