Omax Brothers : a Dynamic Topology of Agents for Improvization Learning

Gérard Assayag (1) , Georges Bloch (2) , Marc Chemillier (3) , Arshia Cont (1) , Shlomo Dubnov (4)

1 Repmus - Représentations musicales
2 UNISTRA - Université de Strasbourg
3 UNICAEN - Université de Caen Normandie
4 UC San Diego - University of California [San Diego]

We describe a multi-agent architecture for an improvisation oriented musician-machine interaction system that learns in real time from human performers. The improvisation kernel is based on sequence modeling and statistical learning. The working system involves a hybrid architecture using two popular composition/perfomance environments, Max and OpenMusic, that are put to work and communicate together, each one handling the process at a different time/memory scale. The system is capable of processing real-time audio/video as well as Midi.the OpenMusic one, which has a deeper analysis/prediction span over the past and the future. These two conceptions of time interact and synchronize over communication channels through which musical data as well as control signals circulate in both direction. A decisive advantage we have found in this hybrid environment experience is its double folded extendability. In the OM domain, it is easy, even while the system is running, to change the body of a lisp function and test incremental changes.

Mots clés: sequence modeling; style modeling; man machine interaction; concurrent agents; variable memory markov systems; Machine Learning; statistical learning; Improvization; computer music

Mots clés: Informatique musicale

Domaines: Langage de programmation [cs.PL]; Son [cs.SD]; Traitement du signal et de l'image [eess.SP]; Machine Learning [stat.ML]; Intelligence artificielle [cs.AI]; Théorie et langage formel [cs.FL]; Musique, musicologie et arts de la scène

Gérard Assayag, Georges Bloch, Marc Chemillier, Arshia Cont, Shlomo Dubnov. Omax Brothers : a Dynamic Topology of Agents for Improvization Learning. Workshop on Audio and Music Computing for Multimedia, ACM Multimedia 2006, Oct 2006, Santa Barbara, United States. pp.1-1. ⟨hal-01161351⟩