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A dualistic psychoacoustic research strategy for measuring soundscape quality: Paper 034.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
2006 (English)In: Inter-Noise 2006–Engineering a Quieter World.: Engineering a Quieter World., 2006Conference paper, Published paper (Other academic)
Abstract [en]

In order to be able to design future soundscapes, tools are needed by which soundscape quality can be measured. For this purpose a “dualistic psychoacoustic research strategy” has been developed. The main goal of this strategy is to identify new ways to characterize soundscapes acoustically. The core question is how soundscapes should be measured on the one hand acoustically, on the other perceptually, such that the acoustic soundscapes that are similar (or dissimilar) would be identical to the perceived soundscapes that are similar (or dissimilar). A top down approach is favored in which tools for measuring perceived soundscape quality are first developed, and followed by developing models of measurement for acoustic soundscapes. Our multidimensional tool for measuring perceived soundscapes includes (perceived) similarity analysis for finding basic underlying dimensions and corresponding similarity analysis of acoustic (waterfall) soundscape quality. This means that this tool measures soundscape quality beyond loudness of unwanted sounds or mere sound level of predominant noise. Research on neural network models is in progress for finding appropriate acoustic measures of soundscapes.

Place, publisher, year, edition, pages
2006.
Keyword [en]
soundscape, neural network, psychoacoustics
National Category
Psychology Psychology (excluding Applied Psychology)
Identifiers
URN: urn:nbn:se:su:diva-21285OAI: oai:DiVA.org:su-21285DiVA: diva2:187811
Note
Type of Proceedings: CD-ROM.Available from: 2007-12-07 Created: 2007-12-07Bibliographically approved

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