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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorBonet-Solà, Daniel
dc.contributor.authorVidaña Vila, Ester
dc.contributor.authorAlsina-Pagès, Rosa Ma
dc.date.accessioned2024-10-11T11:18:58Z
dc.date.available2024-10-11T11:18:58Z
dc.date.issued2023-02-19
dc.identifier.issn1660-4601ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/4431
dc.description.abstractCitizen science can serve as a tool to obtain information about changes in the soundscape. One of the challenges of citizen science projects is the processing of data gathered by the citizens, to obtain conclusions. As part of the project Sons al Balcó, authors aim to study the soundscape in Catalonia during the lockdown due to the COVID-19 pandemic and afterwards and design a tool to automatically detect sound events as a first step to assess the quality of the soundscape. This paper details and compares the acoustic samples of the two collecting campaigns of the Sons al Balcó project. While the 2020 campaign obtained 365 videos, the 2021 campaign obtained 237. Later, a convolutional neural network is trained to automatically detect and classify acoustic events even if they occur simultaneously. Event based macro F1-score tops 50% for both campaigns for the most prevalent noise sources. However, results suggest that not all the categories are equally detected: the percentage of prevalence of an event in the dataset and its foregound-to-background ratio play a decisive role.ca
dc.format.extent23 p.ca
dc.language.isoengca
dc.publisherMDPI : Molecular Diversity Preservation Internationalca
dc.relation.ispartofInternational Journal of Environmental Research and Public Healthca
dc.rights© L'autor/aca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherCitizen scienceca
dc.subject.otherAcoustic event detectionca
dc.subject.otherNoise annoyanceca
dc.subject.otherConvolutional neural networksca
dc.subject.otherCiència ciutadanaca
dc.subject.otherDetecció d'esdeveniments acústicsca
dc.subject.otherMolèstia per sorollsca
dc.subject.otherXarxes neuronals convolucionalsca
dc.titleAnalysis and Acoustic Event Classification of Environmental Data Collected in a Citizen Science Projectca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc5ca
dc.subject.udc531/534ca
dc.subject.udc62ca
dc.identifier.doihttps://doi.org/10.3390/ijerph20043683ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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