DocumentCode
481741
Title
Improving the Performance of GMM Based Voice Conversion Method
Author
Song, Peng ; Zhao, Li
Author_Institution
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing
Volume
1
fYear
2008
fDate
19-20 Dec. 2008
Firstpage
456
Lastpage
460
Abstract
This paper describes a modified GMM based voice conversion method,in order to avoid the over-smoothed phenomena of traditional GMM conversion method, we adopt GMM method considering posterior threshold of each frame. We also considered the dynamic spectral features between frames to overcome the speech discontinuity problem,experiments show that our presented GMM method has shown better performance than traditional one.
Keywords
Gaussian processes; regression analysis; speech processing; GMM based voice conversion method; dynamic spectral features; linear multivariate regression method; speech discontinuity problem; Computational intelligence; Computer industry; Conferences; Information science; Land mobile radio; Mean square error methods; Multivariate regression; Speech synthesis; Statistical analysis; Vector quantization; GMM; dynamic features; posterior threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3490-9
Type
conf
DOI
10.1109/PACIIA.2008.34
Filename
4756601
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