Paradigmatic Analysis Using Genetic Algorithms

Authors

Abstract

Paradigmatic analysis consists in the segmentation of a musical piece through the identification of relations between different parts of the piece, and the classification of the identified segments into categories. In this paper we describe how a genetic programming system can be used to make the paradigmatic analysis of monophonic musical pieces, using a simple fitness function inspired in the Kolmogorov complexity estimation. We make use of automatically defined functions in order to represent segments. Relations are made explicit through the reuse of segments and the application of transformations to these segments.

Keywords

Pattern Extraction Music Analysis

Subject

AI and Music

Conference

Artificial Intelligence and the Simulation of Behavior (AISB2001), March 2001

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