A reflexive audio environment using genetic algorithms

Scott Beveridge, Don Knox

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

    Abstract

    Sonification – the production of sound to represent some form of data or information, has been applied in various fields including analysis of financial, meteorological and physiological data. A system overview is presented which is based on analysis of socio-spatial 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 sonification process. The output of the system is a series of musical chords, optimised as regards their musical ‘fitness’ as defined by three consonance criteria.

    Original languageEnglish
    Title of host publicationProceedings of 4th International Conference on Digital Arts (ARTECH 2008)
    Pages187-190
    Number of pages4
    Publication statusPublished - Nov 2008

    Keywords

    • genetic algorithms
    • generative synthesis
    • audio environment

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