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Omax Brothers : a Dynamic Topology of Agents for Improvization Learning

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text
 

Genre(s)

article
 

Forme(s)

document numérique
 

Cette ressource est disponible chez l'organisme suivant : Ircam - Centre Pompidou

Identification

Titre

Omax Brothers : a Dynamic Topology of Agents for Improvization Learning
 

Nom(s)

Assayag, Gérard (auteur)
 
Bloch, Georges (auteur)
 
Chemillier, Marc (auteur)
 
Cont, Arshia (auteur)
 
Dubnov, Shlomo (auteur)
 

Publication

Santa Barbara, USA , 2006
 

Description

Sujet(s)

Improvization   machine learning   variable memory markov systems   concurrent agents   sequence modeling   style modeling   statistical learning   computer music   man machine interaction
 

Résumé

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.
 

Note(s)

Contribution au colloque ou congrès : Workshop on Audio and Music Computing for Multimedia, ACM Multimedia 2006
 

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Date de la notice

2010-02-25 01:00:00
 

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