An experimental prototype for remixing musical audio on web browsers. A neural network is trained to estimate time-frequency masks for each instrument, using Convnetjs.
The data used for training the networks can be downloaded from the SiSEC website.
An online demo can be found here.
The software is distributed under BSD license. If you use it for academic work, please cite:
Roma, G., Simpson, A. J., Grais, E.M. and Plumbley, M.D., "Remixing musical audio on the web using source separation". In Jason Freeman, Alexander Lerch, Matthew Paradis (Eds.), Proceedings of the 2nd Web Audio Conference (WAC-2016), Atlanta, 2016.