https://github.com/shalinir8/easysounddatasetgeneration

https://github.com/shalinir8/easysounddatasetgeneration

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• Host: GitHub
• URL: https://github.com/shalinir8/easysounddatasetgeneration
• Owner: ShaliniR8
• Created: 2024-10-31T03:39:53.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-12-27T23:32:34.000Z (about 1 month ago)
• Last Synced: 2024-12-28T00:21:24.877Z (about 1 month ago)
• Language: JavaScript
• Size: 25 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Acknowledgements

This library builds on top of a number of open-source giants, to whom we'd like to extend our warmest thanks for providing these tools!

Special thanks to:

- Dan Lyth and Simon King, from Stability AI and Edinburgh University respectively, for publishing such a promising and clear research paper: [Natural language guidance of high-fidelity text-to-speech with synthetic annotations](https://arxiv.org/abs/2402.01912).

- and the many libraries used, namely [parler-tts](https://github.com/huggingface/parler-tts), [datasets](https://huggingface.co/docs/datasets/v2.17.0/en/index), [brouhaha](https://github.com/marianne-m/brouhaha-vad/blob/main/README.md), [penn](https://github.com/interactiveaudiolab/penn/blob/master/README.md), [g2p](https://github.com/Kyubyong/g2p), [accelerate](https://huggingface.co/docs/accelerate/en/index) and [transformers](https://huggingface.co/docs/transformers/index).

## Citation

```

@misc{lacombe-etal-2024-dataspeech,

  author = {Yoach Lacombe and Vaibhav Srivastav and Sanchit Gandhi},

  title = {Data-Speech},

  year = {2024},

  publisher = {GitHub},

  journal = {GitHub repository},

  howpublished = {\url{https://github.com/ylacombe/dataspeech}}

}

```

```

@misc{lyth2024natural,

      title={Natural language guidance of high-fidelity text-to-speech with synthetic annotations},

      author={Dan Lyth and Simon King},

      year={2024},

      eprint={2402.01912},

      archivePrefix={arXiv},

      primaryClass={cs.SD}

}

```