Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (Interspeech, 2021)

Unified Source-Filter GAN with Harmonic-plus-Noise Source Excitation Generation. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (INTERSPEECH, 2022)

A Comparative Study of Voice Conversion Models With Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023. - Ryuichi Yamamoto; Reo Yoneyama; Lester Phillip Violeta; Wen-Chin Huang; Tomoki Toda (ASRU, 2023)

NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit. - Ryuichi Yamamoto; Reo Yoneyama; Tomoki Toda (ICASSP, 2023)

Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (ICASSP, 2023)

Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs. - Reo Yoneyama; Ryuichi Yamamoto; Kentaro Tachibana (ICASSP, 2023)

High-Fidelity and Pitch-Controllable Neural Vocoder Based on Unified Source-Filter Networks. - Reo Yoneyama; Yi-Chiao Wu; Tomoki Toda (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Wavehax: Aliasing-Free Neural Waveform Synthesis Based on 2D Convolution and Harmonic Prior for Reliable Complex Spectrogram Estimation. - Reo Yoneyama; Atsushi Miyashita; Ryuichi Yamamoto; Tomoki Toda (CoRR, 2024)

Comparative Analysis of Fast and High-Fidelity Neural Vocoders for Low-Latency Streaming Synthesis in Resource-Constrained Environments. - Reo Yoneyama; Masaya Kawamura; Ryo Terashima; Ryuichi Yamamoto; Tomoki Toda (CoRR, 2025)