Deep-Learning Vocal Remover

Introduction

My own easy-to-understand implementation of the paper Jansson et al., "Singing Voice Separation with Deep U-Net Convolutional Networks" using PyTorch and librosa.

Usage

Training

• Put audio files with instrument-only track on the left channel and mixed (with vocal) track on the right channel into the data directory.

• Run train.py

Inference

• Specify input media in inference.py.
• Run inference.py
• The result will be saved as result.wav.