Evaluation of a singing voice conversion method based on many-to-many eigenvoice conversion
Hironori Doi, Tomoki Toda, Tomoyasu Nakano, Masataka Goto, Satoshi Nakamura · 2013
In this paper, we evaluate our proposed singing voice conver-sion method from various perspectives. To enable singers to freely control their voice timbre of singing voice, we have pro-posed a singing voice conversion method based on many-to-many eigenvoice conversion (EVC) that enables to convert the voice timbre of an arbitrary source singer into that of another arbitrary target singer using a probabilistic model. Further-more, to easily develop training data consisting of multiple par-allel data sets between a single reference singer and many other singers, a technique for efficiently and effectively generating the parallel data sets from nonparallel singing voice data sets of many singers using a singing-to-singing synthesis system have been proposed. However, we have never conducted sufficient investigations into the effectiveness of these proposed methods. In this paper, we conduct both objective and subjective eval-uations to carefully investigate the effectiveness of proposed methods. Moreover, the differences between singing voice con-version and speaking voice conversion are also analyzed. Ex-perimental results show that our proposed method succeeds in enabling people to control their own voice timbre by using only an extremely small amount of the target singing voice. Index Terms: singing voice, voice conversion, eigenvoice con-version, singing-to-singing synthesis, performance evaluation