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.