Generating structured music using quality metrics based on Markov models

Dorien Herremans, Stéphanie Weisser, Kenneth Sörensen and Darrell Conklin

Working Papers from University of Antwerp, Faculty of Business and Economics

Abstract: In this research, a first order Markov model is built from a corpus of bagana music, a traditional lyre from Ethiopia. Different ways in which low order Markov models can be used to build quality assessment metrics for an optimization algorithm are explained. These are then implemented in a variable neighbourhood search algorithm that generates bagana music. The results are examined and thoroughly evaluated. Due to the size of many datasets it is often only possible to get rich and reliable statistics for low order models, yet these do not handle structure very well and their output is often very repetitive. A method is proposed that allows the enforcement of structure and repetition within music, thus handling long term coherence with a first order model.

Keywords: Markov models; Markov processes; Metaheuristics; Music; Bagana; Computer Aided Composition (CAC); Variable Neighborhood Search (VNS); Combinatorial optimization (search for similar items in EconPapers)
JEL-codes: C60 C61 C63 C65 C8 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2014-09
New Economics Papers: this item is included in nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:ant:wpaper:2014019

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