Disruption: MIDI—Machine Learning looking Back and Looking Ahead

Chair:
Jonathan Wyner, M Works Studios/iZotope/Berklee College of Music - Boston, MA, USA; M Works Mastering

Panelists:
Jonathan Bailey, iZotope
Joshua D. Reiss, Queen Mary University of London - London, UK
Dave Smith, Dave Smith Instruments - San Francisco, CA, USA

AI, machine learning and deep learning are beginning to change audio products and audio production workflows. When new technologies threaten to disrupt existing practices and market, there’s inevitable uncertainty and concern that accompanies these developments. By looking at historic examples of disruptive technology (eg MIDI) we might understand a little about the adaptation that audio production could undergo moving forward. By looking ahead we'll discuss what the new technological 'features' are that are coming out of machine learning development, describe how users are interacting with the new breed of tools and think about what's coming down the road.