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Soundscape Design Through Evolutionary Engines

Journal of the Brazilian Computer Society volume 14, pages 51–64 (2008)Cite this article

Abstract

Two implementations of an Evolutionary Sound Synthesis method using the Interaural Time Difference (ITD) and psychoacoustic descriptors are presented here as a way to develop criteria for fitness evaluation. We also explore a relationship between adaptive sound evolution and three soundscape characteristics: keysounds, key-signals and sound-marks. Sonic Localization Field is defined using a sound attenuation factor and ITD azimuth angle, respectively (Ii, Li). These pairs are used to build Spatial Sound Genotypes (SSG) and they are extracted from a waveform population set. An explanation on how our model was initially written in MATLAB is followed by a recent Pure Data (Pd) implementation. It also elucidates the development and use of: parametric scores, a triplet of psychoacoustic descriptors and the correspondent graphical user interface.

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Authors and Affiliations

  1. Music Cognition Group, Music Department, University of Jyväskylä, PL 35(A), 40014 University of Jyväskylä (JYU), Jyväskylä, Finland

    José Fornari

  2. Interdisciplinary Nucleus for Sound Communications (NICS), State University of Campinas (UNICAMP), Rua da Reitoria, 165 — Cidade Universitária “Zeferino Vaz”z, P.O. Box 6166, ZIP:13091-970, Campinas, SP, Brazil

    Adolfo Maia & Jônatas Manzolli

Authors
  1. José Fornari
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  2. Adolfo Maia
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  3. Jônatas Manzolli
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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fornari, J., Maia, A. & Manzolli, J. Soundscape Design Through Evolutionary Engines. J Braz Comp Soc 14, 51–64 (2008). https://doi.org/10.1007/BF03192564

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