Residual Prediction

Abstract:

Residual prediction is a technique that aims at recovering the spectral details of speech that was encoded using parameterizations as linear predictive coefficients. Example applications of residual prediction are hidden Markov model-based speech synthesis or voice conversion. In this talk, I compare six residual prediction techniques and show that a novel method based on unit selection outperforms the others in terms of speech quality.