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

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

43:332020-02-25

Om episode

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/

Oppdag

Mer

  • Om informasjonskapsler
  • Generelle vilkår
  • Personvernerklæringexternal link
logo
redaktorsansvar

Podme arbeider etter Vær Varsom-plakatens regler for god presseskikk. Ansvarlig redaktør og daglig leder er Kristin Ward Heimdal. Redaktør for eksterne innholdssamarbeid er Mathias Thaulow Lisberg.

© Podme AB 2024