Towards music fitness evaluation with the hierarchical SOM


Edwin Hui Hean, Law and Somnuk, Phon-Amnuaisuk (2008) Towards music fitness evaluation with the hierarchical SOM. SPRINGER-VERLAG BERLIN, 4974. pp. 443-452.

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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.

Item Type: Article
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 19 Sep 2011 08:19
Last Modified: 19 Sep 2011 08:19


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