#47 - Making Music Using Machine Learning with J.J. Burred episode artwork

EPISODE · Feb 25, 2020 · 43 MIN

#47 - Making Music Using Machine Learning with J.J. Burred

from Ableton Music Producer Podcast · host Dan Giffin

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: https://www.jjburred.com/ https://www.youtube.com/channel/UClbzhEEEvrBWEzrwEsjQ8vQ https://www.facebook.com/jjburredmusicsoftware/ Max for Live devices: https://www.jjburred.com/software Get a discount purchasing Ableton Live: https://liveproducersonline.com/buyableton Get monthly coaching sessions with Dan Giffin, and join the Ableton Live membership:  https://liveproducersonline.com/membership-plans/

Episode metadata supplied by the publisher feed · Published Feb 25, 2020

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#47 - Making Music Using Machine Learning with J.J. Burred

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