---
language:
- zh
- en
pipeline_tag: automatic-speech-recognition
---

# SongPrep

<p align="center"><img src="img/logo.jpg" width="40%"></p>
<p align="center">
    <a href="https://song-prep.github.io/demo/">Demo</a> &nbsp;|&nbsp; <a href="https://arxiv.org/abs/2509.17404">Paper</a>  &nbsp;|&nbsp; <a href="https://github.com/tencent-ailab/songprep">Code</a>  &nbsp;|&nbsp; <a href="https://huggingface.co/datasets/waytan22/SSLD-200">Dataset</a>
</p>

This repository is the official weight repository for SongPrep: A Preprocessing Framework and End-to-end Model for Full-song Structure Parsing and Lyrics Transcription. In this repository, we provide the SongPrep-7B model that has been trained on the Million Song Dataset.


## Model Versions

|          Model           |          #Params           |                         HuggingFace                          |
| :----------------------: | :----------------------: | :---------------------------------------------------: |
|  SongPrep | 7B |you are here  |


## Citation

```
@misc{tan2025songpreppreprocessingframeworkendtoend,
      title={SongPrep: A Preprocessing Framework and End-to-end Model for Full-song Structure Parsing and Lyrics Transcription}, 
      author={Wei Tan and Shun Lei and Huaicheng Zhang and Guangzheng Li and Yixuan Zhang and Hangting Chen and Jianwei Yu and Rongzhi Gu and Dong Yu},
      year={2025},
      eprint={2509.17404},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2509.17404}, 
}
```


## License

The code and weights in this repository is released in the [LICENSE](LICENSE)  file.