Residual prediction based on unit selection

Recently, we presented a study on residual prediction techniques that can be applied to voice conversion based on linear transformation or hidden Markov model-based speech synthesis. Our voice conversion experiments showed that none of the six compared techniques was capable of successfully converting the voice while achieving a fair speech quality. In this paper, we suggest a novel residual prediction technique based on unit selection that outperforms the others in terms of speech quality (mean opinion score = 3) while keeping the conversion performance