SCNet

This repository is a fork of the official implementation of SCNet: Sparse Compression Network for Music Source Separation.

It moves dependency management to uv and fixes some instability issues during training.

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Installing

First, you need to install the requirements.

cd SCNet-main
uv sync

We use the accelerate package from Hugging Face for multi-gpu training.

uv run accelerate config

You need to modify the dataset path in the /conf/config.yaml. The dataset folder should contain the train and valid parts.

data:
  wav: /path/to/dataset

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Training

The training command is as follows. If you do not specify a path, the default path will be used.

uv run accelerate launch -m scnet.train --config_path path/to/config.yaml --save_path path/to/save/checkpoint/