Evolutionary Sound Synthesis: Rendering Spectrograms from Cellular Automata Histograms

Autor:	Jaime Serquera, Eduardo Miranda
Rok vydání:	2010
Předmět:	Computational model business.industry Computer science Speech recognition Sound design Additive synthesis Spectrogram business Algorithm Cellular automaton Digital signal processing Rendering (computer graphics) Automaton
Zdroj:	Applications of Evolutionary Computation ISBN: 9783642122415 EvoApplications (2)
DOI:	10.1007/978-3-642-12242-2_39
Popis:	In this paper we report on the synthesis of sounds using cellular automata, specifically the multitype voter model. The mapping process adopted is based on digital signal processing analysis of automata evolutions and consists in mapping histograms onto spectrograms. The main problem of cellular automata is the difficulty of control and, consequently, sound synthesis methods based on these computational models normally present a high factor of randomness in the output. We have achieved a significant degree of control as to predict the type of sounds that we can obtain. We are able to develop a flexible sound design process with emphasis on the possibility of controlling over time the spectrum complexity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9da5f86d30f375f670a115ee760020d4 https://doi.org/10.1007/978-3-642-12242-2_39 Zobrazit plný text záznamu