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---
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}
}
``` |