1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2022
NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit
Ryuichi Yamamoto, Reo Yoneyama, Tomoki Toda
This paper describes the design of NNSVS, an open-source software for neural network-based singing voice synthesis research. NNSVS is inspired by Sinsy, an open-source pioneer in s…
eess.AS2022★ 1 cited
Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs
Reo Yoneyama, Ryuichi Yamamoto, Kentaro Tachibana
Neural audio super-resolution models are typically trained on low- and high-resolution audio signal pairs. Although these methods achieve highly accurate super-resolution if the ac…