An improved method for voice conversion based on Gaussian mixture model

Author

Chen, Xie ; Zhang, Wei-Qiang ; Liu, Jia ; Bao, Xiuguo

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

4

fYear

2010

fDate

22-24 Oct. 2010

Abstract

Voice conversion is a technology by modifying the source personality to mock the voice of target. This technology has a wide prospect and potential technical value both in technical field and entertainment, such as text to speech (TTS) and toys. This paper develops an improved voice conversion method. For the voiced frames, the conversion is implemented by Gaussian mixture model (GMM) based on speech transformation and representation using adaptive interpolation of weighted spectral contour (STRAIGHT) algorithm. For the unvoiced frames, the envelope is stretched or compressed according to the ratio of the vocal tract length (VTL) of the source and the target. The subjective experiment shows that the proposed method indeed improve the quality of the converted voice with the introduction of VTL.

Keywords

Gaussian processes; spectral analysis; speech processing; GMM; Gaussian mixture model; STRAIGHT algorithm; VTL; speech representation; speech transformation; vocal tract length; voice conversion; voiced frame; weighted spectral contour algorithm; GMM; STRAIGHT; Voice conversion; vocal tract length (VTL);

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5619037

Filename

5619037