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README.md
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# πΌΒ SonicVerse
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An interactive demo for SonicVerse
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that includes a general description of the music as well as music features such as key, instruments, genre, mood / theme, vocals gender.
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---
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## π Demo
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## π Samples
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Short captions
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---
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β
Upload a long music clip (upto 1 minute for successful demo) to get a long detailed caption for the whole music clip.
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---
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## π οΈ How to Run Locally
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<!-- ## π File Structure
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```
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.
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βββ app.py # Web app file
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βββ requirements.txt # Python dependencies
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βββ environment.yml # Conda environment
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βββ README.md # This file
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βββ src/sonicverse # Source
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```
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--- -->
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## π‘ Usage
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To use the app:
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## π§Ή Built With
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- [Hugging Face Spaces](https://huggingface.co/spaces)
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- [MERT 95M](https://huggingface.co/m-a-p/MERT-v1-95M)
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---
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<!-- ## β¨ Acknowledgements
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- [Model authors or papers you built on]
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- [Contributors or collaborators]
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---
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## π License
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This project is licensed under the MIT License / Apache 2.0 / Other.
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-->
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# πΌΒ SonicVerse
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An interactive demo for **SonicVerse**, a music captioning model, allowing users to input audio and generate a natural language caption
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that includes a general description of the music as well as music features such as key, instruments, genre, mood / theme, vocals gender.
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The demo supports both short (10s) and long (up to 1 minute) audio inputs.
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---
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## π Demo
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## π Samples
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Short captions and long chained LLM-generated captions:
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β‘οΈ [Samples page](https://amaai-lab.github.io/SonicVerse/)
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---
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β
Upload a long music clip (upto 1 minute for successful demo) to get a long detailed caption for the whole music clip.
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β
Captions include musical attributes (key, instruments, tempo, etc.)
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β οΈ You can upload audio of any length, but due to compute limitations on Hugging Face Spaces, we recommend uploading clips under **30 seconds** unless you have a **Hugging Face Pro account** or run the app locally.
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---
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## π οΈ How to Run Locally
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---
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## π‘ Usage
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To use the app:
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---
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## π Citation
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If you use SonicVerse in your work, please cite our paper:
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**SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning**
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Anuradha Chopra, Abhinaba Roy, Dorien Herremans
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Accepted to AIMC 2025
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```bibtex
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@article{chopra2025sonicverse,
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title={SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning},
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author={Chopra, Anuradha and Roy, Abhinaba and Herremans, Dorien},
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journal={Proceedings of the 6th Conference on AI Music Creativity (AIMC 2025)},
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year={2025},
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address={Brussels, Belgium},
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month={September},
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url={https://arxiv.org/abs/2506.15154},
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}
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```
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Read the paper here: [arXiv:2506.15154](https://arxiv.org/abs/2506.15154)
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DOI: [10.48550/arXiv.2506.15154](https://doi.org/10.48550/arXiv.2506.15154)
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---
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## π§Ή Built With
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- [Hugging Face Spaces](https://huggingface.co/spaces)
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- [MERT 95M](https://huggingface.co/m-a-p/MERT-v1-95M)
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---
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