# MUSAN: A Music, Speech, and Noise Corpus

MUSAN is a corpus of music, speech, and noise recordings designed for training models for voice activity detection and music/speech discrimination. This is a comprehensive collection suitable for various audio processing tasks.

## Dataset Description

- **Total Duration**: ~109 hours of audio
- **Categories**: Music, Speech, and Noise
- **Format**: WAV audio files
- **License**: All files fall under Creative Commons licenses or USA Public Domain (no commercial use restrictions)

## Dataset Structure

The dataset is organized into three main categories:

### 1. Music (~42 hours)
- **Subcategories**: Classical, Pop/Rock, Jazz, and more
- **Sources**: Free Music Archive, Jamendo, and others
- **Files**: Contains instrumental and vocal music

### 2. Speech (~60 hours)  
- **Sources**: LibriVox (public domain audiobooks), US Government recordings
- **Languages**: Primarily English
- **Content**: Various speakers reading books and government proceedings

### 3. Noise (~7 hours)
- **Types**: Environmental sounds, technical noises, etc.
- **Source**: Free Sound and sound effect collections
- **Use Cases**: Background noise for robust model training

## Citation

If you use this dataset, please cite the original paper:

```bibtex
@misc{musan2015,
  author = {David Snyder and Guoguo Chen and Daniel Povey},
  title = {{MUSAN}: {A} {M}usic, {S}peech, and {N}oise {C}orpus},
  year = {2015},
  eprint = {1510.08484},
  note = {arXiv:1510.08484v1}
}
```

## Acknowledgments

This dataset was created by David Snyder, Guoguo Chen, and Daniel Povey with support from:
- National Science Foundation Graduate Research Fellowship (Grant No. 1232825)
- Spoken Communications

## License Information

All content in this corpus is available under Creative Commons licenses or is in the USA Public Domain. Each subdirectory contains:
- `LICENSE` file with specific licensing details for files in that directory
- `ANNOTATIONS` file with metadata about the recordings

For more information about Creative Commons licenses, visit: http://creativecommons.org/licenses/

## Contact

Original dataset curator: David Snyder (david.ryan.snyder@gmail.com)

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*This Hugging Face version is provided by FluidInference to make the dataset more accessible for the research community.*