An HMM-based singing voice synthesis system

Keijiro Saino, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda

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 context-dependent 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.

doi: 10.21437/Interspeech.2006-584

Cite as: Saino, K., Zen, H., Nankaku, Y., Lee, A., Tokuda, K. (2006) An HMM-based singing voice synthesis system. Proc. Interspeech 2006, paper 2077-Thu1BuP.7, doi: 10.21437/Interspeech.2006-584

@inproceedings{saino06_interspeech,
  author={Keijiro Saino and Heiga Zen and Yoshihiko Nankaku and Akinobu Lee and Keiichi Tokuda},
  title={{An HMM-based singing voice synthesis system}},
  year=2006,
  booktitle={Proc. Interspeech 2006},
  pages={paper 2077-Thu1BuP.7},
  doi={10.21437/Interspeech.2006-584}
}