Multilevel annoyance modelling of short environmental sound recordings
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- dc.contributor.author Orga, Ferran
- dc.contributor.author Mitchell, Andrew
- dc.contributor.author Freixes, Marc
- dc.contributor.author Aletta, Francesco
- dc.contributor.author Alsina-Pagès, Rosa Ma
- dc.contributor.author Foraster Pulido, Maria, 1984-
- dc.date.accessioned 2022-06-03T06:24:49Z
- dc.date.available 2022-06-03T06:24:49Z
- dc.date.issued 2021
- dc.description.abstract The recent development and deployment of Wireless Acoustic Sensor Networks (WASN) present new ways to address urban acoustic challenges in a smart city context. A focus on improving quality of life forms the core of smart-city design paradigms and cannot be limited to simply measuring objective environmental factors, but should also consider the perceptual, psychological and health impacts on citizens. This study therefore makes use of short (1–2.7 s) recordings sourced from a WASN in Milan which were grouped into various environmental sound source types and given an annoyance rating via an online survey with N=100 participants. A multilevel psychoacoustic model was found to achieve an overall R2=0.64 which incorporates Sharpness as a fixed effect regardless of the sound source type and Roughness, Impulsiveness and Tonality as random effects whose coefficients vary depending on the sound source. These results present a promising step toward implementing an on-sensor annoyance model which incorporates psychoacoustic features and sound source type, and is ultimately not dependent on sound level.
- dc.description.sponsorship The UCL authors are funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research programme (grant agreement No. 740696). La Salle authors would like to thank Secretaria d’Universitats i Recerca from the Departament d’Empresa i Coneixement (Generalitat de Catalunya) and Universitat Ramon Llull, under the grant 2020-URL-Proj-054 (Rosa Ma Alsina-Pagès).
- dc.format.mimetype application/pdf
- dc.identifier.citation Orga F, Mitchell A, Freixes M, Aletta F, Alsina-Pagès RM, Foraster M. Multilevel annoyance modelling of short environmental sound recordings. Sustainability. 2021;13(11):5779. DOI: 10.3390/su13115779
- dc.identifier.doi http://dx.doi.org/10.3390/su13115779
- dc.identifier.issn 2071-1050
- dc.identifier.uri http://hdl.handle.net/10230/53375
- dc.language.iso eng
- dc.publisher MDPI
- dc.relation.ispartof Sustainability. 2021;13(11):5779
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/740696
- dc.rights © 2021 by the authors. 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/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Noise
- dc.subject.keyword Annoyance evaluation
- dc.subject.keyword Citizen
- dc.subject.keyword Perceptive test
- dc.subject.keyword Smart-city
- dc.subject.keyword Annoyance modelling
- dc.subject.keyword Wireless acoustic sensor network
- dc.title Multilevel annoyance modelling of short environmental sound recordings
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion