Paradigmatic Analysis Using Genetic Algorithms



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.


Pattern Extraction Music Analysis


AI and Music


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

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Year 2006 : 1 citations

 Darrell Conklin and Christina Anagnostopoulou. 2006. Segmental Pattern Discovery in Music. INFORMS J. on Computing 18, 3 (January 2006), 285-293. DOI=10.1287/ijoc.1040.0122