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 | 980 | 2020 |
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 | 866 | 2019 |
librosa/librosa: 0.6. 3 B McFee, M McVicar, S Balke, V Lostanlen, C Thom, C Raffel, D Lee, ... URL: https://doi. org/10.5281/zenodo 2564164, 2019 | 374* | 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 | 242 | 2020 |
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 | 62 | 2021 |
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 | 61 | 2019 |
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 | 41 | 2021 |
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 | 24 | 2021 |
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 | 23 | 2022 |
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 | 23 | 2021 |
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 | 20 | 2014 |
High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model. MJ Hwang, R Yamamoto, E Song, JM Kim Interspeech, 2227-2231, 2021 | 19 | 2021 |
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 | 19 | 2021 |
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 | 19 | 2020 |
Period vits: Variational inference with explicit pitch modeling for end-to-end emotional speech synthesis Y Shirahata, R Yamamoto, E Song, R Terashima, JM Kim, K Tachibana ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 18 | 2023 |
Lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform M Kawamura, Y Shirahata, R Yamamoto, K Tachibana ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 18 | 2023 |
PromptTTS++: Controlling speaker identity in prompt-based text-to-speech using natural language descriptions R Shimizu, R Yamamoto, M Kawamura, Y Shirahata, H Doi, T Komatsu, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 17 | 2024 |
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 | 16 | 2013 |
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 | 15 | 2020 |
Nnsvs: A neural network-based singing voice synthesis toolkit R Yamamoto, R Yoneyama, T Toda ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 14 | 2023 |