---
tags:
- music-generation
- transformer
- pytorch
- audio
- music
license: mit
---
# Compose & Embellish
Trained model weights and training datasets for the paper:
  * Shih-Lun Wu and Yi-Hsuan Yang  
    "[Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach](https://arxiv.org/abs/2209.08212)."  
    _Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)_, 2023

## Model characteristics
### Stage 1: "Compose" model
Generates **melody and chord progression** from scratch.

### Stage 2: "Embellish" model
Generates **accompaniment, timing and dynamics** conditioned on Stage 1 outputs.

## BibTex
If you find the materials useful, please consider citing our work:
```
@inproceedings{wu2023compembellish,
  title={{Compose \& Embellish}: Well-Structured Piano Performance Generation via A Two-Stage Approach},
  author={Wu, Shih-Lun and Yang, Yi-Hsuan},
  booktitle={Proc. Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2023},
  url={https://arxiv.org/pdf/2209.08212.pdf}
}
```