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 / Conference PaperConference Paperpeer-review

18 Citations (Scopus)

Abstract

![CDATA[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. Soni_cation 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 coe_cients 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 International Conference on New Interfaces for Musical Expression, 11-15 July 2016, Griffith University, Brisbane, Australia
PublisherGriffith University
Pages388-393
Number of pages6
Publication statusPublished - 2016
EventInternational Conference on New Interfaces for Musical Expression -
Duration: 11 Jul 2016 → …

Publication series

Name
ISSN (Print)2220-4806

Conference

ConferenceInternational Conference on New Interfaces for Musical Expression
Period11/07/16 → …

Keywords

  • fourier transformations
  • music
  • perfect balance
  • rhythm
  • well-formedness

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