README.md

Setup

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/1442513/files/VocalSet1-2.zip?download=1
2. mv VocalSet.zip?download=1 VocalSet.zip
3. unzip VocalSet.zip

Training

Steps

1. Change Wandb and data root variables in shell_vars.sh and source shell_vars.sh
2. python scripts/train.py +exp=default

Experiments

Training parameters can be configured in cfg/exp/default.yaml. Here are some descriptions

• num_kept_effects={[min, max]} range of Kept effects to apply to each file. Inclusive.
• num_removed_effects={[min, max]} range of Removed effects to apply to each file. Inclusive.
• model={model} architecture to use (see 'Models')
• effects_to_keep={[effect]} Effects to apply but not remove (see 'Effects')
• effects_to_remove={[effect]} Effects to remove (see 'Effects')
• accelerator=null/'gpu' Use GPU (1 device) (default: null)
• render_files=True/False Render files. Disable to skip rendering stage (default: True)
• render_root={path/to/dir}. Root directory to render files to (default: DATASET_ROOT)

These can also be specified on the command line. see cfg/exp/default.yaml for an example.

Models

• umx
• demucs
• tcn
• dcunet
• dptnet

Effects

• chorus
• compressor
• distortion
• reverb
• delay

Misc.

By default, files are rendered to input_dir / processed / {string_of_effects} / {train|val|test}.

Download datasets:

python scripts/download.py vocalset guitarset idmt-smt-guitar idmt-smt-bass idmt-smt-drums

To run audio effects classifiction:

python scripts/train.py model=classifier "effects_to_use=[compressor, distortion, reverb, chorus, delay]" "effects_to_remove=[]" max_kept_effects=5 max_removed_effects=0 shuffle_kept_effects=True shuffle_removed_effects=True accelerator='gpu' render_root=/scratch/RemFX render_files=True