In applications such as audio denoising, music transcription, music remixing, and audio-based forensics, it is desirable to decompose a single- or stereo-channel recording into its respective sources. To perform such tasks, we present ISSE - an interactive source separation editor (pronounced "ice").


ISSE is an open-source, freely available, cross-platform audio editing tool that allows a user to perform source separation by painting on time-frequency visualizations of sound. The software leverages both a new user interaction paradigm and machine learning-based separation algorithm that "learns" from human feedback (e.g. painting annotations) to perform separation. For more information, please see the about and demos sections of the website and the demo video below.

Link: http://isse.sourceforge.net/?fbclid=IwAR2Djmh-C8jF1ryvMRWw2F1iCh5bnnaB6Hgrb8j2WTPwWzuBoG_iuyt4T8Y

 

I saw this tool a few years ago. Seems interesting but the last version is from 2013 and is a v0.20 alpha.

 

Yeah, looks like ISSE is pretty much abandoned.

If one wants free and OSS separation tool, I can recommend Spleeter (https://pypi.org/project/spleeter/), it's a bit tricky to set up but the results are really, really good.

Maybe we should start a separate (no pun intended) thread for that, if people are interested.