Control of sound environment using genetic algorithms

Scott Beveridge, Don Knox

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


    Sonication - the production of sound to represent some form of data or information, has been applied in various elds including analysis of nancial, meteorological and physiological data. A system overview is presented which is based on analysis of sociospacial behaviour via video capture of a given environment. The example given is a busy commuter environment such as a train station. Activity in the environment is mapped to a set of musical performance parameters, and also forms the basis for controlling an optimisation function based on genetic algorithms (GA). The aim is to develop a socially reflexive audio environment, where those present unconsciously interact with the input, and output, of the sonication process. The output of the system is a series of musical chords, optimised as regards their musical tness as dened by three consonance criteria.

    Original languageEnglish
    Title of host publicationProceedings of the Audio Mostly Conference - A Conference on Interaction with Sound
    Number of pages6
    Publication statusPublished - 1 Oct 2008


    • genetic algorithms
    • generative sound synthesis


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