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2020

JVS-MuSiC: Japanese multispeaker singing-voice corpus

Tamaru, Hiroki, Takamichi, Shinnosuke, Tanji, Naoko et al.

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Thanks to developments in machine learning techniques, it has become possible to synthesize high-quality singing voices of a single singer.

An open multispeaker singing-voice corpus would further accelerate the research in singing-voice synthesis.
However, conventional singing-voice corpora only consist of the singing voices of a single singer.
We designed a Japanese multispeaker singing-voice corpus called "JVS-MuSiC" with the aim to analyze and synthesize a variety of voices.

JVS-MuSiC: Japanese multispeaker singing-voice corpus · Around

Built on

“Singing voice synthesis based on deep neural networks,”
M. Nishimura, K. Hashimoto, K. Oura, Y. Nankaku, and K. Tokuda, · 2016
Earlier work this paper cites.
“A neural parametric singing synthesizer modeling timbre and expression from natural songs,”
M. Blaauw and J. Bonada, · 2017
Earlier work this paper cites.

Similar

“JVS corpus: free Japanese multi-speaker voice corpus,”
Original
S. Takamichi, K. Mitsui, Y. Saito, T. Koriyama, N. Tanji, and H. Saruwatari, · 2019
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“HMM-based speech synthesis system (HTS),” http://hts.sp.nitech.ac.jp/
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“JSUT-song,”
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“Kiritan singing database,”
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“Celemony — what is melodyne?,” https://www.celemony.com/en/melodyne/what-is-melodyne
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“Lancers,”
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Then

“DNN-based speaker embedding using subjective inter-speaker similarity for multi-speaker modeling in speech synthesis,”
Y. Saito, S. Takamichi, and H. Saruwatari, · 2019
Later among the works it cites.

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