Vocal Remover using Deep Neural Networks
MIT License
This is a deep-learning-based tool to extract instrumental track from your songs.
Download the latest version from here.
See: GET STARTED
cd vocal-remover
pip install -r requirements.txt
The following command separates the input into instrumental and vocal tracks. They are saved as *_Instruments.wav
and *_Vocals.wav
.
python inference.py --input path/to/an/audio/file
python inference.py --input path/to/an/audio/file --gpu 0
--tta
option performs Test-Time-Augmentation to improve the separation quality.
python inference.py --input path/to/an/audio/file --tta --gpu 0
--postprocess
option masks instrumental part based on the vocals volume to improve the separation quality.
[!WARNING] This is an experimental feature. If you get any problems with this option, please disable it.
python inference.py --input path/to/an/audio/file --postprocess --gpu 0
path/to/dataset/
+- instruments/
| +- 01_foo_inst.wav
| +- 02_bar_inst.mp3
| +- ...
+- mixtures/
+- 01_foo_mix.wav
+- 02_bar_mix.mp3
+- ...
python train.py --dataset path/to/dataset --mixup_rate 0.5 --reduction_rate 0.5 --gpu 0