An HMM-based Singing Voice Synthesis System. Saino, K., Zen, H., Nankaku, Y., Lee, A., & Tokuda, K. Interspeech2006, 2006.
abstract   bibtex   
The present paper describes a corpus-based singing voice synthesis system based on hidden Markov models (HMMs). This system employs the HMM-based speech synthesis to synthesize singing voice. Musical information such as lyrics, tones, durations is modeled simultaneously in a unified framework of the contextdependent HMM. It can mimic the voice quality and singing style of the original singer. Results of a singing voice synthesis experiment show that the proposed system can synthesize smooth and natural-sounding singing voice.
@article{
 title = {An HMM-based Singing Voice Synthesis System},
 type = {article},
 year = {2006},
 identifiers = {[object Object]},
 keywords = {HMM,singing voice synthesis,time-lag model},
 pages = {2274-2277},
 id = {b3c562af-42fa-3b83-ab8b-7e0d1372af20},
 created = {2016-11-17T19:13:42.000Z},
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 last_modified = {2017-03-14T16:56:30.626Z},
 tags = {singing},
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 abstract = {The present paper describes a corpus-based singing voice synthesis system based on hidden Markov models (HMMs). This system employs the HMM-based speech synthesis to synthesize singing voice. Musical information such as lyrics, tones, durations is modeled simultaneously in a unified framework of the contextdependent HMM. It can mimic the voice quality and singing style of the original singer. Results of a singing voice synthesis experiment show that the proposed system can synthesize smooth and natural-sounding singing voice.},
 bibtype = {article},
 author = {Saino, Keijiro and Zen, Heiga and Nankaku, Yoshihiko and Lee, Akinobu and Tokuda, Keiichi},
 journal = {Interspeech2006},
 number = {March}
}
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