Based on SINGING VOICE SEPARATION WITH DEEP U-NET CONVOLUTIONAL NETWORKS by A. Jansson, et al.
Inspired by Xiao-Ming/UNet-VocalSeparation-Chainer.
CCmixter model - loss: 0.0032 - val_loss: 0.0032
CCMixter + DSD100 model - loss: 0.0032 - val_loss: 0.0067
- Install requirements.txt
- Install keras backend (TF, Theano, etc)
- Open notebooks and follow the instructions
- CCMixter dataset
- DSD100
@inproceedings{ SiSEC16, Title = {The 2016 Signal Separation Evaluation Campaign}, Address = {Cham}, Author = {Liutkus, Antoine and St{"o}ter, Fabian-Robert and Rafii, Zafar and Kitamura, Daichi and Rivet, Bertrand and Ito, Nobutaka and Ono, Nobutaka and Fontecave, Julie}, Editor = {Tichavsk{'y}, Petr and Babaie-Zadeh, Massoud and Michel, Olivier J.J. and Thirion-Moreau, Nad{`e}ge}, Pages = {323--332}, Publisher = {Springer International Publishing}, Year = {2017}, booktitle = {Latent Variable Analysis and Signal Separation - 12th International Conference, {LVA/ICA} 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings}, }