https://forum.ircam.fr/projects/detail/dicy2-for-live/
Thanks @muller, @poletti and @jnika !!!
“Dicy2 for Live” is a plugin for Ableton Live using machine-learning for the interactive generation of sequences in musical relation with the real-time analysis of an incoming audio stream. It can be integrated into musical situations ranging from the production of structured material within a compositional process to the design of autonomous agents for improvised interaction. Check also our Max Package !
Dicy2 is a plugin of the Ircam Musical Representations team, designed and developed by Jérôme Nika, Augustin Muller (Max library), Joakim Borg (Python generative engine / Gig RepMus API), and Matthew Ostrowski (tutorial patchers and videos, abstractions) in the framework of the projects ANR-DYCI2, ANR-MERCI, ERC-REACH directed by Gérard Assayag, and the UPI-CompAI Ircam project.
The audio use cases have been designed and developed with Diemo Schwarz and Riccardo Borghesi, and use the MuBu and CatArt environments of the ISMM team of Ircam. Max4Live plugin by Manuel Poletti.
Contributions / thanks : Serge Lemouton, Jean Bresson, Thibaut Carpentier, Georges Bloch, Mikhaïl Malt, Axel Chemla–Romeu-Santos, Vincent Cusson, Tommy Davis, Dionysios Papanicolaou, Greg Beller, Markus Noisternig.