Residual prediction
D. Heinr. Sundermann, Harald Höge, Antonio Bonafonte, Helenca Duxans · 2006
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. Our voice conversion experiments showed that only one of the seven compared techniques was capable of successfully converting the voice while achieving a fair speech quality (i.e. mean opinion score = 3)