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---
license: apache-2.0
language:
- en
tags:
- MuseCoco
- Text2Music
---
<p align="center" width="100%">
<a href="" target="_blank"><img src="https://ai-muzic.github.io/images/musecoco/framework.png" alt="Text2Attribute" style="width: 100%; min-width: 100px; display: block; margin: auto;"></a>
</p>
# Text-to-Attribute Understanding
This is the text-to-attribute model to extract musical attributes from text, introduced in the paper [*MuseCoco: Generating Symbolic Music from Text*](https://arxiv.org/abs/2306.00110) and [first released in this repository](https://github.com/microsoft/muzic/tree/main/musecoco).
It is based on BERT-large and has multiple classification heads for diverse musical attributes:
```json
[
"Instrument",
"Rhythm Danceability",
"Rhythm Intensity",
"Artist",
"Genre",
"Bar",
"Time Signature",
"Key",
"Tempo",
"Pitch Range",
"Emotion",
"Time"
]
```
# BibTeX entry and citation info
```bibtex
@article{musecoco2023,
title={MuseCoco: Generating Symbolic Music from Text},
author={Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian},
journal={arXiv preprint arXiv:2306.00110},
year={2023}
}
```
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