41 citations · 51 across the 6 of their papers we have counts for
4 papers · 1 filter
SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling
Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura +2
We present a self-supervised speech restoration method without paired speech corpora. Because the previous general speech restoration method uses artificial paired data created by…
J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis
Shinnosuke Takamichi, Wataru Nakata, Naoko Tanji +1
In this paper, we construct a Japanese audiobook speech corpus called "J-MAC" for speech synthesis research. With the success of reading-style speech synthesis, the research target…
JVS-MuSiC: Japanese multispeaker singing-voice corpus
Hiroki Tamaru, Shinnosuke Takamichi, Naoko Tanji +1
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 corpu…
JVS corpus: free Japanese multi-speaker voice corpus
Shinnosuke Takamichi, Kentaro Mitsui, Yuki Saito +3
Thanks to improvements in machine learning techniques, including deep learning, speech synthesis is becoming a machine learning task. To accelerate speech synthesis research, we ar…