CollageNet

This is the repository for code and demo of the ISMIR 2021 paper CollageNet. The code is incomplete, and will be completed in the future.

code

Training

• CollageNet: sh scripts/train_adversarial.sh
• EC2-VAE: sh scripts/train_EC2.sh
• poly: sh scripts/train_poly.sh

Dependencies

1. python 3.8.8

2. pytorch 1.7.1

3. cudatoolkit 11.0.221

4. pretty-midi 0.2.9

Reference

https://github.com/buggyyang/Deep-Music-Analogy-Demos

https://github.com/ZZWaang/polyphonic-chord-texture-disentanglement

https://github.com/music-x-lab/POP909-Dataset

demos

fusion demo

Some fusion demos along with the one in Figure 1 of the paper.

The user control inputs are recorded in the file names.

user control demo

Several outputs of the model with different user control inputs.

The user control input cmel=c_mp=c_mr=1-c_ac=1-c_at