88 citations · 286 across the 82 of their papers we have counts for
4 papers · 1 filter
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
Ryosuke Sonobe, Shinnosuke Takamichi, Hiroshi Saruwatari
Thanks to improvements in machine learning techniques including deep learning, a free large-scale speech corpus that can be shared between academic institutions and commercial comp…
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
A method for statistical parametric speech synthesis incorporating generative adversarial networks (GANs) is proposed. Although powerful deep neural networks (DNNs) techniques can…
Sampling-based speech parameter generation using moment-matching networks
Shinnosuke Takamichi, Tomoki Koriyama, Hiroshi Saruwatari
This paper presents sampling-based speech parameter generation using moment-matching networks for Deep Neural Network (DNN)-based speech synthesis. Although people never produce ex…
Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities
Hiroyuki Miyoshi, Yuki Saito, Shinnosuke Takamichi +1
Voice conversion (VC) using sequence-to-sequence learning of context posterior probabilities is proposed. Conventional VC using shared context posterior probabilities predicts targ…