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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorTappero, Fabrizio
dc.contributor.authorAlsina Pagès, Rosa Maria
dc.contributor.authorDuboc, Leticia
dc.contributor.authorAlías Pujol, Francesc
dc.date.accessioned2022-03-30T07:41:14Z
dc.date.accessioned2023-07-13T09:52:38Z
dc.date.available2022-03-30T07:41:14Z
dc.date.available2023-07-13T09:52:38Z
dc.date.created2019
dc.date.issued2019-03-08
dc.identifier.urihttp://hdl.handle.net/20.500.14342/2930
dc.description.abstractCity noise and sound are measured and processed with the purpose of drawing appropriate government legislation and regulations, ultimately aimed at contributing to a healthier environment for humans. The primary use of urban noise analysis is carried out with the main purpose of reporting or denouncing, to the appropriate authorities, a misconduct or correct a misuse of council resources. We believe that urban sounds carry more information than what it is extracted to date. In this paper we present a cloud-based urban sound analysis system for the capturing, processing and trading of urban sound-based information. By leveraging modern artificial intelligence algorithms running on a FOG computing city infrastructure, we will show how the presented solution can offer a valuable solution for exploiting urban sound information. A specific focus is given to the hardware implementation of the sound sensor and its multimicrophone architecture. We discuss how the presented architecture is designed to allow the trading of sound information between independent parties, transparently, using cloud-based sound processing APIs running on an inexpensive consumer-grade microphone.eng
dc.format.extent6 p.cat
dc.language.isoengcat
dc.publisherMDPIcat
dc.relation.ispartofProceedings 5th International Electronic Conference on Sensors and Applicationscat
dc.rights© L'autor/a
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherSoroll urbàcat
dc.subject.otherAcústicacat
dc.titleLeveraging Urban Sounds: A Commodity Multi-Microphone Hardware Approach for Sound Recognitioncat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc53
dc.identifier.doihttps://doi.org/10.3390/ecsa-5-05756cat
dc.relation.projectIDinfo:eu-repo/grantAgreement/EU/MSCA-COFUND i ACCIO-TECNIOspring PLUS/Grant No. 712949cat
dc.relation.projectIDinfo:eu-repo/grantAgreement/URL i La Caixa/Intensificació recerca PDI/2018-URL-IR1rQ-021cat


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