Metacompose: A compositional evolutionary music composer

Marco Scirea, Julian Togelius, Peter Eklund, Sebastian Risi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper describes a compositional, extensible framework for music composition and a user study to systematically evaluate its core components. These components include a graph traversal-based chord sequence generator, a search-based melody generator and a pattern-based accompaniment generator. An important contribution of this paper is the melody generator which uses a novel evolutionary technique combining FI-2POP and multi-objective optimization. A participant-based evaluation overwhelmingly confirms that all current components of the framework combine effectively to create harmonious, pleasant and interesting compositions.

    Original languageEnglish (US)
    Title of host publicationEvolutionary and Biologically Inspired Music, Sound, Art and Design - 5th International Conference, EvoMUSART 2016, Proceedings
    EditorsJoão Correia, Penousal Machado, Colin Johnson, Vic Ciesielski
    PublisherSpringer Verlag
    Pages202-217
    Number of pages16
    ISBN (Print)9783319310077
    DOIs
    StatePublished - 2016
    Event5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2016 - Porto, Portugal
    Duration: Mar 30 2016Apr 1 2016

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9596
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2016
    Country/TerritoryPortugal
    CityPorto
    Period3/30/164/1/16

    Keywords

    • Evolutionary computing
    • Genetic algorithm
    • Music generator

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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