<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 and first released in this repository. It is based on BERT-large and has multiple classification heads for diverse musical attributes:
[
"Instrument",
"Rhythm Danceability",
"Rhythm Intensity",
"Artist",
"Genre",
"Bar",
"Time Signature",
"Key",
"Tempo",
"Pitch Range",
"Emotion",
"Time"
]
BibTeX entry and citation info
@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}
}