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Clustering outdoor soundscapes using fuzzy ants
Stockholm University, Faculty of Social Sciences, Department of Psychology.
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2008 (English)In: Proceedings of the 2008 IEEE World Congress on Computational Intelligence, 2008, 1556-1562 p.Conference paper (Refereed)
Abstract [en]

A classification algorithm for environmental sound recordings or “soundscapes” is outlined. An ant clustering approach is proposed, in which the behavior of the ants is governed by fuzzy rules. These rules are optimized by a genetic algorithm specially designed in order to achieve the optimal set of homogeneous clusters. Soundscape similarity is expressed as fuzzy resemblance of the shape of the sound pressure level histogram, the frequency spectrum and the spectrum of temporal fluctuations. These represent the loudness, the spectral and the temporal content of the soundscapes. Compared to traditional clustering methods, the advantages of this approach are that no a priori information is needed, such as the desired number of clusters, and that a flexible set of soundscape measures can be used. The clustering algorithm was applied to a set of 1116 acoustic measurements in 16 urban parks of Stockholm. The resulting clusters were validated against visitor’s perceptual measurements of soundscape quality.

Place, publisher, year, edition, pages
2008. 1556-1562 p.
Keyword [en]
soundscape, fuzzy logic, cluster analysis
National Category
Psychology Psychology (excluding Applied Psychology)
URN: urn:nbn:se:su:diva-15556ISBN: 978-1-4244-1823-7OAI: diva2:182076
Available from: 2008-12-05 Created: 2008-12-05Bibliographically approved

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