DocumentCode
2161450
Title
Voice Conversion Using HMM combined with GMM
Author
Yue, Zhenjun ; Zou, Xiang ; Jia, Yongxing ; Wang, Hao
Volume
5
fYear
2008
fDate
27-30 May 2008
Firstpage
366
Lastpage
370
Abstract
According to HMM´s strong representation capability of speech signal and GMM´s better transformation effect, a method for LSF conversion using HMM combined with GMM is proposed. The theoretical derivation and flow diagram of this algorithm are offered, and gauss model is introduced to achieve the prosodic features transformation. The experiment is applied on two segment speech, and the result reveals that the converted speech has good naturalness. The ABX test indicates that converted speech is 90.2% similar to the target speaker’s.
Keywords
Gaussian distribution; Hidden Markov models; Image converters; Programmable logic arrays; Signal processing; Signal processing algorithms; Speech coding; Speech processing; Speech synthesis; Stochastic processes; GMM; HMM; LSF; subjective evaluation; voice conversion;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.165
Filename
4566851
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