Title :
Dynamic Recombination of Evolving Guitar Sounds (DREGS): A Genetic Algorithm Approach to Guitar Synthesizer Control
Author :
Walker, Timothy M. ; Whalen, Sean P.
Author_Institution :
Ohio Dominican Univ., Columbus, OH, USA
Abstract :
A system is described which integrates multiple hardware interfaces and software packages in order to control the parameters of a guitar synthesizer in real time. An interactive genetic algorithm is developed in order to create and explore parameter settings, and a mobile device wirelessly sets the fitness values. The synthesizer parameters are represented as genes within an individual, and individuals dynamically interact within a population as the user rates the resulting sounds by changing orientation.
Keywords :
audio signal processing; genetic algorithms; interactive systems; mobile handsets; music; musical instruments; software packages; DREGS; dynamic recombination of evolving guitar sounds; genetic algorithm approach; guitar synthesizer control; hardware interfaces; interactive genetic algorithm; mobile device; software packages; synthesizer parameters; Compass; Genetic algorithms; Genomics; Real-time systems; Sociology; Statistics; Synthesizers; IGA; PureData; fitness; guitar synthesizer;
Conference_Titel :
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location :
Anaheim, CA
Print_ISBN :
978-0-7695-5140-1
DOI :
10.1109/ISM.2013.47
