A Time-scale Alternation Method in GMM Voice Conversion System

作者:Zhou Ying*; Zhang Ling hua
来源:International Conference on Electronic Information and Electrical Engineering, 2012-06-15 to 2012-06-17.

摘要

This paper improves and presents an advanced method of the voice conversion system based on GMM models by changing the time-scale of speech. The STRAIGHT model is adopted to extract the spectrum features, and the GMM models are trained to generate the conversion function. The spectrum features of a source speech will be converted by the conversion function. The time-scale of speech is changed by extracting the converted features and adding to the spectrum. The conversion voice was evaluated by subjective and objective measurements. The results confirm that the transformed speech not only approximates the characteristics of the target speaker, but also more natural and more intelligible.