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Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment

Noise annoyance has been often reported as one of the main adverse effects of noise exposure on human health, and there is consensus that it relates to several factors going beyond the mere energy content of the signal. Research has historically focused on a limited set of sound sources (e.g., trans...

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Autores principales: Mitchell, Andrew, Erfanian, Mercede, Soelistyo, Christopher, Oberman, Tin, Kang, Jian, Aldridge, Robert, Xue, Jing-Hao, Aletta, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690752/
https://www.ncbi.nlm.nih.gov/pubmed/36429588
http://dx.doi.org/10.3390/ijerph192214872
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author Mitchell, Andrew
Erfanian, Mercede
Soelistyo, Christopher
Oberman, Tin
Kang, Jian
Aldridge, Robert
Xue, Jing-Hao
Aletta, Francesco
author_facet Mitchell, Andrew
Erfanian, Mercede
Soelistyo, Christopher
Oberman, Tin
Kang, Jian
Aldridge, Robert
Xue, Jing-Hao
Aletta, Francesco
author_sort Mitchell, Andrew
collection PubMed
description Noise annoyance has been often reported as one of the main adverse effects of noise exposure on human health, and there is consensus that it relates to several factors going beyond the mere energy content of the signal. Research has historically focused on a limited set of sound sources (e.g., transport and industrial noise); only more recently is attention being given to more holistic aspects of urban acoustic environments and the role they play in the noise annoyance perceptual construct. This is the main approach promoted in soundscape studies, looking at both wanted and unwanted sounds. In this study, three specific aspects were investigated, namely: (1) the effect of different sound sources combinations, (2) the number of sound sources present in the soundscape, and (3) the presence of individual sound source, on noise annoyance perception. For this purpose, a large-scale online experiment was carried out with 1.2k+ participants, using 2.8k+ audio recordings of complex urban acoustic environments to investigate how they would influence the perceived noise annoyance. Results showed that: (1) the combinations of different sound sources were not important, compared, instead, to the number of sound sources identified in the soundscape recording (regardless of sound sources type); (2) the annoyance ratings expressed a minimum when any two clearly distinguishable sound sources were present in a given urban soundscape; and (3) the presence (either in isolation or combination) of traffic-related sound sources increases noise annoyance, while the presence (either in isolation or combination) of nature-related sound sources decreases noise annoyance.
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spelling pubmed-96907522022-11-25 Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment Mitchell, Andrew Erfanian, Mercede Soelistyo, Christopher Oberman, Tin Kang, Jian Aldridge, Robert Xue, Jing-Hao Aletta, Francesco Int J Environ Res Public Health Article Noise annoyance has been often reported as one of the main adverse effects of noise exposure on human health, and there is consensus that it relates to several factors going beyond the mere energy content of the signal. Research has historically focused on a limited set of sound sources (e.g., transport and industrial noise); only more recently is attention being given to more holistic aspects of urban acoustic environments and the role they play in the noise annoyance perceptual construct. This is the main approach promoted in soundscape studies, looking at both wanted and unwanted sounds. In this study, three specific aspects were investigated, namely: (1) the effect of different sound sources combinations, (2) the number of sound sources present in the soundscape, and (3) the presence of individual sound source, on noise annoyance perception. For this purpose, a large-scale online experiment was carried out with 1.2k+ participants, using 2.8k+ audio recordings of complex urban acoustic environments to investigate how they would influence the perceived noise annoyance. Results showed that: (1) the combinations of different sound sources were not important, compared, instead, to the number of sound sources identified in the soundscape recording (regardless of sound sources type); (2) the annoyance ratings expressed a minimum when any two clearly distinguishable sound sources were present in a given urban soundscape; and (3) the presence (either in isolation or combination) of traffic-related sound sources increases noise annoyance, while the presence (either in isolation or combination) of nature-related sound sources decreases noise annoyance. MDPI 2022-11-11 /pmc/articles/PMC9690752/ /pubmed/36429588 http://dx.doi.org/10.3390/ijerph192214872 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mitchell, Andrew
Erfanian, Mercede
Soelistyo, Christopher
Oberman, Tin
Kang, Jian
Aldridge, Robert
Xue, Jing-Hao
Aletta, Francesco
Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment
title Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment
title_full Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment
title_fullStr Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment
title_full_unstemmed Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment
title_short Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment
title_sort effects of soundscape complexity on urban noise annoyance ratings: a large-scale online listening experiment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690752/
https://www.ncbi.nlm.nih.gov/pubmed/36429588
http://dx.doi.org/10.3390/ijerph192214872
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