Waveforms Synthesis by Evolutionary Processes

José Fornari 1

Núcleo Interdisciplinar de Comunicação Sonora (NICS), UNICAMP
 13.081-970, Campinas, SP, Brazil.

Jônatas Manzolli

Núcleo Interdisciplinar de Comunicação Sonora (NICS), UNICAMP
Instituto de Artes, UNICAMP
 13.081-970, Campinas, SP, Brazil.

Adolfo Maia Jr.

Núcleo Interdisciplinar de Comunicação Sonora (NICS), UNICAMP
Departamento de Matematica Aplicada, IMECC, UNICAMP
 13.081-970, Campinas, SP, Brazil.


Abstract:

We present a model for sound synthesis based on Genetic Algorithms (GAs) and the correspondent algorithm named ESSynth. It creates an evolutionary sequence of waveforms which converges toa Target Sound Set and can be used to several purposes such as real time sound environment, or even collect the resultant sounds for an off-time composition, electroacoustic music, etc.

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