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Generating structured music using quality metrics based on Markov models

Author

Listed:
  • HERREMANS, Dorien
  • WEISSER, Stéphanie
  • SÖRENSEN, Kenneth
  • CONKLIN, Darrell

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.

Suggested Citation

  • HERREMANS, Dorien & WEISSER, Stéphanie & SÖRENSEN, Kenneth & CONKLIN, Darrell, 2014. "Generating structured music using quality metrics based on Markov models," Working Papers 2014019, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2014019
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    References listed on IDEAS

    as
    1. Avanthay, Cedric & Hertz, Alain & Zufferey, Nicolas, 2003. "A variable neighborhood search for graph coloring," European Journal of Operational Research, Elsevier, vol. 151(2), pages 379-388, December.
    2. Fleszar, Krzysztof & Hindi, Khalil S., 2004. "Solving the resource-constrained project scheduling problem by a variable neighbourhood search," European Journal of Operational Research, Elsevier, vol. 155(2), pages 402-413, June.
    3. HERREMANS, Dorien & SÖRENSEN, Kenneth, 2013. "FuX, an android app that generates counterpoint," Working Papers 2013003, University of Antwerp, Faculty of Business and Economics.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Markov models; Markov processes; Metaheuristics; Music; Bagana; Computer Aided Composition (CAC); Variable Neighborhood Search (VNS); Combinatorial optimization;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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