README.md

Install Packages

1. python3 -m venv env
2. source env/bin/activate
3. pip install -e .
4. git submodule update --init --recursive
5. pip install -e umx

Download VocalSet Dataset

1. wget https://zenodo.org/record/1193957/files/VocalSet.zip?download=1
2. mv VocalSet.zip?download=1 VocalSet.zip
3. unzip VocalSet.zip
4. Manually split singers into train, val, test directories

Train model

1. Change Wandb and data root variables in shell_vars.sh and source shell_vars.sh
2. python scripts/train.py +exp=umx_distortion or
3. python scripts/train.py +exp=demucs_distortion See cfg for more options. Generally they are +exp={model}_{effect} Models and effects detailed below.

To add gpu, add trainer.accelerator='gpu' trainer.devices=-1 to the command-line

Ex. python scripts/train.py +exp=umx_distortion trainer.accelerator='gpu' trainer.devices=-1

Current Models

• umx
• demucs

Current Effects

• chorus
• compressor
• distortion
• reverb
• all (choose random effect to apply to each file)

Misc.

By default, files are rendered to input_dir / processed / train/val/test. To skip rendering files (use previously rendered), add render_files=False to the command-line To change the rendered location, add render_root={path/to/dir} to the command-line Test Experiment dictates data, ckpt dictates model python scripts/test.py +exp=umx_distortion.yaml +ckpt_path=test_ckpts/umx_dist.ckpt