Orga, F;
Mitchell, A;
Freixes, M;
Aletta, F;
Alsina-Pagès, RM;
Foraster, M;
(2021)
Multilevel annoyance modelling of short environmental sound recordings.
Sustainability
, 13
(11)
, Article 5779. 10.3390/su13115779.
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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 R = 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. 2
| Type: | Article |
|---|---|
| Title: | Multilevel annoyance modelling of short environmental sound recordings |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/su13115779 |
| Publisher version: | https://doi.org/10.3390/su13115779 |
| Language: | English |
| Additional information: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms andconditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | noise; annoyance evaluation; citizen; perceptive test; smart-city; annoyance modelling; wireless acoustic sensor network |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10128500 |
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