Abstract
There are many systems for the evolution of creative musical material, that create and/or manipulate musical score data or synthesis parameters with a variety of techniques. This paper aims to add the technique of corpus-based sound sampling and processing to the list of applications used in conjunction with genetic algorithms. Genomic, a simple system for evolving sound treatment parameters, is presented, along with two simple use cases. Finally, a more complex process is outlined where sound treatment parameters are evolved and stored in a database with associated metadata for further organization and compositional use.
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Stoll, T.M. (2014). Genomic: Evolving Sound Treatments Using Genetic Algorithms. In: Romero, J., McDermott, J., Correia, J. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2014. Lecture Notes in Computer Science, vol 8601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44335-4_10
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DOI: https://doi.org/10.1007/978-3-662-44335-4_10
Publisher Name: Springer, Berlin, Heidelberg
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