XronoMorph

algorithmic generation of perfectly balanced and well-formed rhythms

Andrew J. Milne, Steffen A. Herff, David Bulger, William A. Sethares, Roger T. Dean

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

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    Abstract

    We present an application—XronoMorph—for the algorithmic generation of rhythms in the context of creative composition and performance, and of musical analysis and education. XronoMorph makes use of visual and geometrical conceptualizations of rhythms, and allows the user to smoothly morph between rhythms. Sonification of the user generated geometrical constructs is possible using a built-in sampler, VST and AU plugins, or standalone synthesizers via MIDI. The algorithms are based on two underlying mathematical principles: perfect balance and well-formedness, both of which can be derived from coefficients of the discrete Fourier transform of the rhythm. The mathematical background , musical implications, and their implementation in the software are discussed.
    Original languageEnglish
    Title of host publicationProceedings of the 16th International Conference on New Interfaces for Musical Expression (NIME 2016)
    Place of Publicationwww.nime.org
    PublisherNIME
    Pages388-393
    Number of pages6
    Publication statusPublished - 2016
    EventInternational Conference on New Interfaces for Musical Expression (16th : 2016) - Griffith University, Brisbane, Australia
    Duration: 11 Jul 201615 Jul 2016

    Conference

    ConferenceInternational Conference on New Interfaces for Musical Expression (16th : 2016)
    Abbreviated titleNIME 2016
    CountryAustralia
    CityBrisbane
    Period11/07/1615/07/16

    Bibliographical note

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