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NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit. (arXiv:2210.15987v1 [eess.AS])
Oct. 31, 2022, 1:11 a.m. | Ryuichi Yamamoto, Reo Yoneyama, Tomoki Toda
cs.LG updates on arXiv.org arxiv.org
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 singing voice synthesis research, and provides many
additional features such as multi-stream models, autoregressive fundamental
frequency models, and neural vocoders. Furthermore, NNSVS provides extensive
documentation and numerous scripts to build complete singing voice synthesis
systems. Experimental results demonstrate that our best system significantly
outperforms our reproduction of Sinsy and other baseline systems. The toolkit …
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