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Sound Cities: Computational modelling of urban soundscape quality
University of Sheffield, UK.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
2013 (English)In: Inter Noise 2013: Noise Control for Quality of Life. Innsbruck, Austria / [ed] W. Talasch, 2013Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Whether to improve existing acoustic environments, as they are perceived or experienced and/or understood by people, in context (i.e., soundscapes), or to design future soundscapes it is central to have a prediction model that relates predictors (i.e., acoustic indicators) to outcomes (i.e., psychological variables). In the Sound Cities project it is proposed to use as outcome what Axelsson previously has termed Information Load. The purpose of the Sound Cities project is to identify what acoustic indicators may predict the information load of soundscapes. The method will be psychoacoustic experiments in which a large sample of naïve listeners will assess recordings of authentic acoustic environments with regards to information load. Acoustic signals and information-load data will be submitted to machine learning, based on music information retrieval technology. It is expected that the Sound Cities project will contribute to the underpinnings of future tools for soundscape planning and design, like soundscape maps that provide information on how people perceive the acoustic environment. This is in contrast to present noise maps, which only provide calculated sound-pressure levels from transportation and industry.

Place, publisher, year, edition, pages
2013.
Keyword [en]
soundscape quality, music information retrieval technology, information load
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-97268OAI: oai:DiVA.org:su-97268DiVA: diva2:676355
Conference
The 42nd International Congress and Exposition on Noise Control Engineering Inter Noise 2013. Noise Control for Quality of Life. Innsbruck, Austria
Available from: 2013-12-05 Created: 2013-12-05 Last updated: 2014-02-25Bibliographically approved

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