arXiv:2210.15987
공식 코드 · Papers with Code
NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit
원문 초록
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 is available at https://github.com/nnsvs/nnsvs.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
토론
이 논문과 연결된 포럼 글이 아직 없습니다.