Digital sound synthesis via parallel evolutionary optimization (Paralel evrimsel eniyileme ile sayısal ses sentezleme)

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Yüksel, Kamer Ali and Erçil, Aytül and Bozkurt, Batuhan (2012) Digital sound synthesis via parallel evolutionary optimization (Paralel evrimsel eniyileme ile sayısal ses sentezleme). In: IEEE 20th Signal Processing and Communications Applications Conference (SIU 2012), Fethiye, Muğla

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Abstract

In this research, we propose a novel parallelizable architecture for the optimization of various sound synthesis parameters. The architecture employs genetic algorithms to match the parameters of different sound synthesizer topologies to target sounds. The fitness function is evaluated in parallel to decrease its convergence time. Based on the proposed architecture, we have implemented a framework using the SuperCollider audio synthesis and programming environment and conducted several experiments. The results of the experiments have shown that the framework can be utilized for accurate estimation of the sound synthesis parameters at promising speeds.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Aytül Erçil
Date Deposited: 18 Oct 2012 15:27
Last Modified: 26 Apr 2022 09:06
URI: https://research.sabanciuniv.edu/id/eprint/19523

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