Abstract
Birdsongs are an integral part of many natural environments. They constitute an ecological network of sonic agents whose interaction is self-organized into an open complex system of similar cognitive characteristics, at the same time that it continuously generates original acoustic data. This work presents a preliminary study on the development of an evolutionary algorithm for the generation of an artificial soundscape of birdsongs. This computational environment is created by genetic operators that dynamically generate sequences of control parameters for computational models of birdsongs, given by the physical model of a syrinx. This system is capable of emulating a wide range of realistic birdsongs and generating with them a network of bird calls. The result here presented is an artificial evolutionary soundscape that is also interactive, as it can receive external data, such as from instant text messages like the ones from the micro-blog Twitter, and map them as the genotype of new individuals belonging to a dynamic population of artificial birdsongs.
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Fornari, J. (2012). A Computational Environment for the Evolutionary Sound Synthesis of Birdsongs. In: Machado, P., Romero, J., Carballal, A. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2012. Lecture Notes in Computer Science, vol 7247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29142-5_9
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DOI: https://doi.org/10.1007/978-3-642-29142-5_9
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