In this episode, J.J. Burred and Dan discuss the development of machine learning in today's music, how it's benefiting producers, and the future of music software with source separation.
J.J. Burred is an independent researcher, software developer and musician based in Paris. With a background in machine learning and signal processing, his work aims at developing innovative tools for music and sound creation, analysis and source separation. He's released Max for Live devices such as FactorSynth, Factoid, and others. J.J holds a PHD at Technical University of Berlin and has credits working with companies like Mogees, Audionamix, IRCAM, and more.
Stay connected with J.J. at the following:
Max for Live devices:
Get a discount purchasing Ableton Live:
Get monthly coaching sessions with Dan Giffin, and join the Ableton Live membership:https://anchor.fm/abletonlive/support
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