Applying improved spectral modeling for High Quality voice conversion

In this work, accurate spectral envelope estimation is applied to Voice Conversion in order to achieve High-Quality timbre conversion. True-Envelope based estimators allow model order selection leading to an adaptation of the spectral features to the characteristics of the speaker. Optimal residual signals can also be computed following a local adaptation of the model order in terms of the F0. A new perceptual criteria is proposed to measure the impact of the spectral conversion error. The proposed envelope models show improved spectral conversion performance as well as increased converted-speech quality when compared to Linear Prediction.

• Type: Conference
• Year: 2009
• Where: ICASSP
• Authors: Fernando Villavicencio, Axel Röbel, Xavier Rodet
• Keywords: ICASSP 2009, Signal Processing, Spectral Conversion, Spectral Conversion Error, Spectral Envelope Estimation