Voice conversion using Viterbi algorithm based on Gaussian mixture model

Author

Zhi-Hua, Jian ; Zhen, Yang

Author_Institution

Nanjing Univ. of Post & Telecom, Nanjing

fYear

2007

fDate

Nov. 28 2007-Dec. 1 2007

Firstpage

32

Lastpage

35

Abstract

A novel method for voice conversion based on Viterbi algorithm is proposed in this paper, which uses the matrix of transition probabilities of the target speaker to represent the relationship between the subsequent frames, and then determines the most appropriate component of the GMM by utilizing the Viterbi algorithm for each frame of the source speaker. It avoids the spectral discontinuities between adjacent frames and the spectral averaging. Both objective and subjective evaluations have demonstrated that the proposed method improves the performance of the conventional voice conversion system based on GMM.

Keywords

matrix algebra; probability; speech processing; Gaussian mixture model; Viterbi algorithm; spectral averaging; spectral discontinuities; transition probability matrix; voice conversion; Data mining; Degradation; Loudspeakers; Signal processing algorithms; Speech enhancement; Speech processing; Speech synthesis; Telecommunications; Vectors; Viterbi algorithm; Gaussian mixture model; Speech Processing; Viterbi algorithm; Voice conversion;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-1447-5

Electronic_ISBN

978-1-4244-1447-5

Type

conf

DOI

10.1109/ISPACS.2007.4445816

Filename

4445816