ImproteK: introducing scenarios into human-computer music improvisation - Archive ouverte HAL Access content directly
Journal Articles ACM Computers in Entertainment Year : 2017

ImproteK: introducing scenarios into human-computer music improvisation

Jérôme Nika
Gérard Assayag


This article focuses on the introduction of control, authoring, and composition in human-computer music improvisation through the description of a guided music generation model and a reactive architecture, both implemented in the software ImproteK. This interactive music system is used with expert improvisers in work sessions and performances of idiomatic and pulsed music, and more broadly in situations of structured or composed improvisation. The article deals with the integration of speci fications in the music generation process by means of a fi xed or dynamic "scenario", and addresses the issue of the dialectic between reactivity and planning in interactive music improvisation. It covers the diff erent levels involved in the machine improvisation: the integration of anticipation relative to a prede fined structure in a guided generation process at a symbolic level, an architecture combining this anticipation with reactivity using mixed static/dynamic scheduling techniques, and an audio rendering module performing live re-injection of captured material in synchrony with a non-metronomic beat. Finally, it sketches a framework to compose improvisation sessions at the scenario level, extending the initial musical scope of the system. All these points are illustrated by videos of performances or work sessions with musicians.
Fichier principal
Vignette du fichier
ACM-CiE_ImproteK_Nika-et-al_2017.pdf (3.29 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01380163 , version 1 (30-03-2017)



Jérôme Nika, Marc Chemillier, Gérard Assayag. ImproteK: introducing scenarios into human-computer music improvisation. ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩. ⟨hal-01380163⟩
406 View
372 Download



Gmail Facebook Twitter LinkedIn More