SAIGE

SAIGE welcomes new members with warm food and shirts. Photo was taken in Aug and they are well into their research projects already.

At SAIGE we are dead serious about source separation but in one of our new papers, we suggest you "don't separate, learn to remix" if you want just a remix. In this end-to-end model with joint optimization for separation and remixing, we propose a novel interactive "remixing" system. Yes, the point is, not to focus on source separation too much unless it's absolutely necessary. Please take a look at Haici Yang's virtual presentation for more information. This was a result of an exciting collaboration with Nick Bryan at Adobe Research.

Don’t Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization - Indiana University