https://github.com/nnsvs/nnsvs

Neural network-based singing voice synthesis library for research
https://github.com/nnsvs/nnsvs

deep-learning dnn kiritan python pytorch singing-synthesis singing-voice singing-voice-synthesis

Last synced: 3 months ago
JSON representation

Neural network-based singing voice synthesis library for research

• Host: GitHub
• URL: https://github.com/nnsvs/nnsvs
• Owner: nnsvs
• License: mit
• Created: 2020-04-19T16:06:47.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-10-09T15:59:00.000Z (about 1 year ago)
• Last Synced: 2024-07-28T16:41:35.176Z (4 months ago)
• Topics: deep-learning, dnn, kiritan, python, pytorch, singing-synthesis, singing-voice, singing-voice-synthesis
• Language: Python
• Homepage: https://nnsvs.github.io
• Size: 12 MB
• Stars: 673
• Watchers: 38
• Forks: 81
• Open Issues: 19
• Metadata Files:
  • Readme: README.md
  • Changelog: HISTORY.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# NNSVS

[![][docs-latest-img]][docs-latest-url]

[![PyPI](https://img.shields.io/pypi/v/nnsvs.svg)](https://pypi.python.org/pypi/nnsvs)

[![License](http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat)](LICENSE)

[![arXiv](https://img.shields.io/badge/arXiv-2210.15987-b31b1b.svg)](https://arxiv.org/abs/2210.15987)

![Python CI](https://github.com/nnsvs/nnsvs/workflows/Python%20CI/badge.svg)

[![codecov](https://codecov.io/gh/nnsvs/nnsvs/branch/master/graph/badge.svg?token=Z66FDOQGH7)](https://codecov.io/gh/nnsvs/nnsvs)

[docs-latest-img]: https://img.shields.io/badge/docs-latest-blue.svg

[docs-latest-url]: https://nnsvs.github.io/nnsvs/

Neural network-based singing voice synthesis library for research

Documentation can be found at https://nnsvs.github.io.

## Citation

```

@article{yamamoto2022nnsvs,

  title={NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit},

  author={Yamamoto, Ryuichi and Yoneyama, Reo and Toda, Tomoki},

  journal={arXiv preprint arXiv:2210.15987},

  year={2022}

}

```

## Acknowledgements

- The inference implementation of uSFGAN was adapted from [chomeyama/HN-UnifiedSourceFilterGAN](https://github.com/chomeyama/HN-UnifiedSourceFilterGAN).

- The code for diffusion models was adapted from [DiffSinger](https://github.com/MoonInTheRiver/DiffSinger).