Projects

Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators
Preprint: arXiv:2010.14151 (accepted to ICASSP 2021)
Ryuichi Yamamoto, Eunwoo Song, Min-Jae Hwang, Jae-Min Kim
Neural text-to-speech with a modeling-by-generation excitation vocoder
Preprint: arXiv:2008.00132, Published version: ISCA Archive Interspeech 2020
Eunwoo Song, Min-Jae Hwang, Ryuichi Yamamoto, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit
Preprint: arXiv:1910.10909 (submitted to ICASSP 2020)
Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Preprint: arXiv:1910.11480 (accepted to ICASSP 2020)
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation
Preprint: arXiv:1904.04472, Published version: ISCA Archive Interspeech 2019
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
An open-source implementation of WaveNet vocoder
Ryuichi Yamamoto
An open-source implementation of Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Ryuichi Yamamoto