Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
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.
GMM, dynamic features, posterior threshold
L. Zhao and P. Song, "Improving the Performance of GMM Based Voice Conversion Method," 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008(PACIIA), Wuhan, 2008, pp. 456-460.