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Reo YONEYAMA
Reo YONEYAMA
Graduate School of Informatics, Nagoya University, Japan
Verified email at g.sp.m.is.nagoya-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
152023
Unified source-filter GAN: Unified source-filter network based on factorization of quasi-periodic parallel WaveGAN
R Yoneyama, YC Wu, T Toda
arXiv preprint arXiv:2104.04668, 2021
152021
Unified source-filter GAN with harmonic-plus-noise source excitation generation
R Yoneyama, YC Wu, T Toda
arXiv preprint arXiv:2205.06053, 2022
112022
Nonparallel high-quality audio super resolution with domain adaptation and resampling CycleGANs
R Yoneyama, R Yamamoto, K Tachibana
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
52023
High-Fidelity and Pitch-Controllable Neural Vocoder Based on Unified Source-Filter Networks
R Yoneyama, YC Wu, T Toda
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
22023
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
12023
A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023
R Yamamoto, R Yoneyama, LP Violeta, WC Huang, T Toda
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-6, 2023
2023
A unified source-filter network for neural vocoder
R Yoneyama, YC Wu, T Toda
IEICE Technical Report; IEICE Tech. Rep. 120 (399), 57-62, 2021
2021
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