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Workshop: Music Composition and Creative Interaction with Machine Learning

IRCAM / STMS Lab — CNRS exploratory research program (PEPS) PACO — ANR DYCI2

While making machines capable of composing using machine learning and artificial intelligence has been widely explored in computer music research, these techniques are still seldom exploited by musicians themselves as an actual tool for composition. This workshop will present current works and perpectives in this direction, considering ML and AI-inspired techniques applied for computer-aided composition and musical human-machine interaction.

We encourage and warmly welcome all contributions and proposals for open talks and demonstrations.
⇒ Please contact the organizers anytime with a brief description of your proposal !

Presenters and topics (preliminary program):

  • Jean Bresson: machine learning in the compositional workflow (workshop introduction)
  • Diemo Schwarz: Learning gestures from audio descriptors: composition and interaction
  • Jerome Nika: Symbolic human-machine musical interaction
  • Anders Vinjar: An exploration AI techniques for computer-aided composition
  • Hugo Scurto: Human-AI collaboration and music technology.
 


paco/workshop-smc.1528231514.txt.gz · Dernière modification: 2018/06/05 22:45 par Jean Bresson