Marco Fiorini, Mikhail Malt. Somax2 – A Distributed Co-Creative System for Human-Machine Co-Improvisation. Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence HHAI 2023, Jun 2023, Munich, Germany. ⟨hal-04444997⟩ Full publication Download PDF Abstract: Somax2 is a multi-agent interactive system, based on machine-listening, machine learning and generative units, performing live machine co-improvisation with musicians. […]
Joakim Borg, Gérard Assayag, Mikhail Malt SMC 2022 – Sound Music & Computing, Jun 2022, Saint-Étienne, France. Proceedings of the 19th Sound and Music Computing Conference, 2022 Read full publication. Abstract: Somax 2 is a multi-agent interactive system performing live machine co-improvisation with musicians, based on machine-listening, machine-learning, and generative units. The actual version ([Borg […]
Jérôme Nika, Augustin Muller, Joakim Borg, Manuel Poletti, Gérard Assayag Ircam. 2022 Read full article. Abstract: Dicy2 for Live is an Ableton Live plugin using machine learning to interactively generate sequences in a musical relationship to a real-time analysis of an incoming audio stream. It can be integrated into musical situations ranging from the production […]
Jérôme Nika, Augustin Muller, Joakim Borg, Gérard Assayag, Matthew Ostrowski Ircam UMR STMS 9912. 2022 Read full article. Abstract: Dicy2 for Max is a suite of Max abstractions which use machine learning for interactive generation of musical sequences. It can be integrated into musical situations ranging from the production of structured material within a compositional […]