| Voice conversion from unaligned corpora using variational autoencoding wasserstein generative adversarial networks CC Hsu, HT Hwang, YC Wu, Y Tsao, HM Wang arXiv preprint arXiv:1704.00849, 2017 | 464 | 2017 |
| ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ... Computer Speech & Language 64, 101114, 2020 | 434 | 2020 |
| Voice conversion from non-parallel corpora using variational auto-encoder CC Hsu, HT Hwang, YC Wu, Y Tsao, HM Wang 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 375 | 2016 |
| Voice transformer network: Sequence-to-sequence voice conversion using transformer with text-to-speech pretraining WC Huang, T Hayashi, YC Wu, H Kameoka, T Toda arXiv preprint arXiv:1912.06813, 2019 | 115 | 2019 |
| Audiobox: Unified audio generation with natural language prompts A Vyas, B Shi, M Le, A Tjandra, YC Wu, B Guo, J Zhang, X Zhang, ... arXiv preprint arXiv:2312.15821, 2023 | 91 | 2023 |
| Non-parallel voice conversion with cyclic variational autoencoder PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda arXiv preprint arXiv:1907.10185, 2019 | 89 | 2019 |
| AudioDec: An Open-Source Streaming High-Fidelity Neural Audio Codec YC Wu, ID Gebru, D Marković, A Richard ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 85 | 2023 |
| Pretraining techniques for sequence-to-sequence voice conversion WC Huang, T Hayashi, YC Wu, H Kameoka, T Toda IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 745-755, 2021 | 48 | 2021 |
| Locally Linear Embedding for Exemplar-Based Spectral Conversion. YC Wu, HT Hwang, CC Hsu, Y Tsao, HM Wang INTERSPEECH, 1652-1656, 2016 | 43 | 2016 |
| Any-to-one sequence-to-sequence voice conversion using self-supervised discrete speech representations WC Huang, YC Wu, T Hayashi ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 40 | 2021 |
| Source-Filter HiFi-GAN: Fast and pitch controllable high-fidelity neural vocoder R Yoneyama, YC Wu, T Toda ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 35 | 2023 |
| The NU non-parallel voice conversion system for the voice conversion challenge 2018 YC Wu, PL Tobing, T Hayashi, K Kobayashi, T Toda WORLD 2 (m3), a1, 2018 | 32 | 2018 |
| Collapsed speech segment detection and suppression for WaveNet vocoder YC Wu, K Kobayashi, T Hayashi, PL Tobing, T Toda arXiv preprint arXiv:1804.11055, 2018 | 31 | 2018 |
| Refined wavenet vocoder for variational autoencoder based voice conversion WC Huang, YC Wu, HT Hwang, PL Tobing, T Hayashi, K Kobayashi, ... 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 29 | 2019 |
| Human identification system by fusion of face recognition and speaker recognition, method and service robot thereof KT Song, SC Chien, CY Lin, YW Chen, SH Chen, CY Chiang, YC Wu US Patent 8,879,799, 2014 | 28 | 2014 |
| Quasi-periodic parallel WaveGAN: A non-autoregressive raw waveform generative model with pitch-dependent dilated convolution neural network YC Wu, T Hayashi, T Okamoto, H Kawai, T Toda IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 792-806, 2021 | 27 | 2021 |
| crank: An open-source software for nonparallel voice conversion based on vector-quantized variational autoencoder K Kobayashi, WC Huang, YC Wu, PL Tobing, T Hayashi, T Toda ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 25 | 2021 |
| Quasi-periodic WaveNet: An autoregressive raw waveform generative model with pitch-dependent dilated convolution neural network YC Wu, T Hayashi, PL Tobing, K Kobayashi, T Toda IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1134-1148, 2021 | 25 | 2021 |
| Voice conversion with cyclic recurrent neural network and fine-tuned WaveNet vocoder PL Tobing, YC Wu, T Hayashi, K Kobayashi, T Toda ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| Quasi-periodic WaveNet vocoder: A pitch dependent dilated convolution model for parametric speech generation YC Wu, T Hayashi, PL Tobing, K Kobayashi, T Toda arXiv preprint arXiv:1907.00797, 2019 | 19 | 2019 |
Tomoki TodaNagoya UniversityVerificeret mail på icts.nagoya-u.ac.jp