Multilevel Annoyance Modelling of Short Environmental Sound Recordings
| Autor: | Francesco Aletta, Maria Foraster, Ferran Orga, Marc Freixes, Rosa Ma Alsina-Pagès, Andrew R. J. Mitchell |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
noise
Computer science annoyance modelling media_common.quotation_subject Geography Planning and Development TJ807-830 Context (language use) Annoyance 010501 environmental sciences Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources perceptive test Human–computer interaction Smart city Perception 0103 physical sciences GE1-350 Psychoacoustics Tonality 010301 acoustics Sound (geography) 0105 earth and related environmental sciences media_common geography geography.geographical_feature_category citizen Environmental effects of industries and plants Renewable Energy Sustainability and the Environment wireless acoustic sensor network annoyance evaluation Environmental sciences Noise smart-city |
| Zdroj: | Sustainability, Vol 13, Iss 5779, p 5779 (2021) Sustainability Volume 13 Issue 11 |
| ISSN: | 2071-1050 |
| Popis: | 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. 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). |
| Databáze: | OpenAIRE |
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