evolutionary sound synthesis controlled by gestural data

Clicks: 113
ID: 173270
2011
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Abstract
This article focuses on the interdisciplinary research involving Computer Music and Generative Visual Art. We describe the implementation of two interactive artistic systems based on principles of Gestural Data (WILSON, 2002) retrieval and self-organization (MORONI, 2003), to control an Evolutionary Sound Synthesis method (ESSynth). The first implementation uses, as gestural data, image mapping of handmade drawings. The second one uses gestural data from dynamic body movements of dance. The resulting computer output is generated by an interactive system implemented in Pure Data (PD). This system uses principles of Evolutionary Computation (EC), which yields the generation of a synthetic adaptive population of sound objects. Considering that music could be seen as “organized sound” the contribution of our study is to develop a system that aims to generate "self-organized sound" – a method that uses evolutionary computation to bridge between gesture, sound and music.
Reference Key
fornari2011opusevolutionary Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jose Fornari;Mariana Shellard;Jônatas Manzolli
Journal huan jing ke xue= huanjing kexue
Year 2011
DOI
DOI not found
URL
http://www.anppom.com.br/revista/index.php/opus/article/view/213
Keywords
music and books on musicmusic

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