SMUG: Scientific music generator

Marco Scirea, Gabriella A.B. Barros, Noor Shaker, Julian Togelius

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

    Abstract

    Music is based on the real world. Composers use their day-to-day lives as inspiration to create rhythm and lyrics. Procedural music generators are capable of creating good quality pieces, and while some already use the world as inspiration, there is still much to be explored in this. We describe a system to generate lyrics and melodies from real-world data, in particular from academic papers. Through this we want to create a playful experience and establish a novel way of generating content (textual and musical) that could be applied to other domains, in particular to games. For melody generation, we present an approach to Markov chains evolution and briefly discuss the advantages and disadvantages of this approach.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 6th International Conference on Computational Creativity, ICCC 2015
    EditorsHannu Toivonen, Simon Colton, Michael Cook, Dan Ventura
    PublisherBrigham Young University
    Pages204-211
    Number of pages8
    ISBN (Electronic)9780842529709
    StatePublished - 2015
    Event6th International Conference on Computational Creativity, ICCC 2015 - Park City, United States
    Duration: Jun 29 2015Jul 2 2015

    Publication series

    NameProceedings of the 6th International Conference on Computational Creativity, ICCC 2015

    Conference

    Conference6th International Conference on Computational Creativity, ICCC 2015
    Country/TerritoryUnited States
    CityPark City
    Period6/29/157/2/15

    ASJC Scopus subject areas

    • Computational Theory and Mathematics

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