Towards music fitness evaluation with the hierarchical SOM

Authors:
Edwin Hui Hean Law;Somnuk Phon-Amnuaisuk
Affiliations:
Music Informatics Research Group, Faculty of Information Technology, Multimedia University, Selangor Darul Ehsan, Malaysia;Music Informatics Research Group, Faculty of Information Technology, Multimedia University, Selangor Darul Ehsan, Malaysia
Venue:
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Year:
2008

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Abstract

In any evolutionary search system, the fitness raters are most crucial in determining successful evolution. In this paper, we propose a Hierarchical Self Organizing Map based sequence predictor as a fitness evaluator for a music evolution system. The hierarchical organization of information in the HSOM allows prediction to be performed with multiple levels of contextual information. Here, we detail the design and implementation of such a HSOM system. From the experimental setup, we show that the HSOM's prediction performance exceeds that of a Markov prediction system when using randomly generated and musical phrases.