Algorithmic Composition by Autonomous Systems with Multiple Time-Scales

TL;DR

This paper introduces a novel approach to algorithmic music composition using autonomous dynamic systems that operate across multiple time-scales, integrating sound and score synthesis through hybrid and feedback mechanisms.

Contribution

It presents new strategies for multi-time-scale variation in autonomous systems, combining slow-fast dynamics, hybrid systems, and statistical feedback for creative music generation.

Findings

Demonstrates effective multi-time-scale variation in composition.

Shows how hybrid dynamic systems can produce emergent musical structures.

Provides a case study illustrating the practical application of these methods.

Abstract

Dynamic systems have found their use in sound synthesis as well as score synthesis. These levels can be integrated in monolithic autonomous systems in a novel approach to algorithmic composition that shares certain aesthetic motivations with some work with autonomous music systems, such as the search for emergence. We discuss various strategies for achieving variation on multiple time-scales by using slow-fast, hybrid dynamic systems, and statistical feedback. The ideas are illustrated with a case study.