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Ryuichi Yamamoto
Ryuichi Yamamoto
LY Corporation
Bestätigte E-Mail-Adresse bei lycorp.co.jp - Startseite
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Zitiert von
Zitiert von
Jahr
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
R Yamamoto, E Song, JM Kim
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
7702020
A comparative study on transformer vs rnn in speech applications
S Karita, N Chen, T Hayashi, T Hori, H Inaguma, Z Jiang, M Someki, ...
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
7222019
librosa/librosa: 0.6. 3
B McFee, M McVicar, S Balke, C Thomé, C Raffel, D Lee, O Nieto, ...
URL: https://doi. org/10.5281/zenodo 2564164, 2019
364*2019
ESPnet-TTS: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit
T Hayashi, R Yamamoto, K Inoue, T Yoshimura, S Watanabe, T Toda, ...
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
2112020
Probability density distillation with generative adversarial networks for high-quality parallel waveform generation
R Yamamoto, E Song, JM Kim
arXiv preprint arXiv:1904.04472, 2019
532019
Espnet2-tts: Extending the edge of tts research
T Hayashi, R Yamamoto, T Yoshimura, P Wu, J Shi, T Saeki, Y Ju, ...
arXiv preprint arXiv:2110.07840, 2021
372021
TTS-by-TTS: TTS-driven data augmentation for fast and high-quality speech synthesis
MJ Hwang, R Yamamoto, E Song, JM Kim
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
342021
Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators
R Yamamoto, E Song, MJ Hwang, JM Kim
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
202021
Improved Parallel WaveGAN vocoder with perceptually weighted spectrogram loss
E Song, R Yamamoto, MJ Hwang, JS Kim, O Kwon, JM Kim
2021 IEEE Spoken Language Technology Workshop (SLT), 470-476, 2021
202021
Semi-supervised speaker adaptation for end-to-end speech synthesis with pretrained models
K Inoue, S Hara, M Abe, T Hayashi, R Yamamoto, S Watanabe
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
Ryry: A real-time score-following automatic accompaniment playback system capable of real performances with errors, repeats and jumps
S Sako, R Yamamoto, T Kitamura
Active Media Technology: 10th International Conference, AMT 2014, Warsaw …, 2014
162014
Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis
K Futamata, B Park, R Yamamoto, K Tachibana
arXiv preprint arXiv:2104.12395, 2021
152021
Cross-speaker emotion transfer for low-resource text-to-speech using non-parallel voice conversion with pitch-shift data augmentation
R Terashima, R Yamamoto, E Song, Y Shirahata, HW Yoon, JM Kim, ...
arXiv preprint arXiv:2204.10020, 2022
142022
High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model.
MJ Hwang, R Yamamoto, E Song, JM Kim
Interspeech, 2227-2231, 2021
142021
Improving lpcnet-based text-to-speech with linear prediction-structured mixture density network
MJ Hwang, E Song, R Yamamoto, F Soong, HG Kang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
132020
Score following handling performances with arbitrary repeats and skips and automatic accompaniment
E Nakamura, H Takeda, R Yamamoto, Y Saito, S Sako, S Sagayama
IPSJ Journal 54 (4), 1338-1349, 2013
132013
Neural text-to-speech with a modeling-by-generation excitation vocoder
E Song, MJ Hwang, R Yamamoto, JS Kim, O Kwon, JM Kim
arXiv preprint arXiv:2008.00132, 2020
112020
Wavenet vocoder
R Yamamoto
Wavenet vocoder, 2018
102018
Robust on-line algorithm for real-time audio-to-score alignment based on a delayed decision and anticipation framework
R Yamamoto, S Sako, T Kitamura
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
102013
Language model-based emotion prediction methods for emotional speech synthesis systems
HW Yoon, O Kwon, H Lee, R Yamamoto, E Song, JM Kim, MJ Hwang
arXiv preprint arXiv:2206.15067, 2022
92022
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