This repository provides a deep neural network for extracting instrumental tracks from songs by separating vocal and non-vocal components. It uses a U-Net convolutional architecture adapted for audio spectrogram processing. The tool supports CPU and GPU inference, test-time augmentation, and post-processing options. Users can also train custom models on their own datasets of mixed audio and separated stems.