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dc.creatorLuque Sendra, Amaliaes
dc.creatorRomero-Lemos, Javieres
dc.creatorCarrasco Muñoz, Alejandroes
dc.creatorBarbancho Concejero, Julioes
dc.date.accessioned2018-09-28T11:57:22Z
dc.date.available2018-09-28T11:57:22Z
dc.date.issued2018
dc.identifier.citationLuque Sendra, A., Romero-Lemos, J., Carrasco Muñoz, A. y Barbancho Concejero, J. (2018). Improving classification algorithms by considering score series in wireless acoustic sensor networks. Sensors, 10 (8), 1-26.
dc.identifier.issn1424-8220es
dc.identifier.urihttps://hdl.handle.net/11441/78893
dc.description.abstractThe reduction in size, power consumption and price of many sensor devices has enabled the deployment of many sensor networks that can be used to monitor and control several aspects of various habitats. More specifically, the analysis of sounds has attracted a huge interest in urban and wildlife environments where the classification of the different signals has become a major issue. Various algorithms have been described for this purpose, a number of which frame the sound and classify these frames,while others take advantage of the sequential information embedded in a sound signal. In the paper, a new algorithm is proposed that, while maintaining the frame-classification advantages, adds a new phase that considers and classifies the score series derived after frame labelling. These score series are represented using cepstral coefficients and classified using standard machine-learning classifiers. The proposed algorithm has been applied to a dataset of anuran calls and its results compared to the performance obtained in previous experiments on sensor networks. The main outcome of our research is that the consideration of score series strongly outperforms other algorithms and attains outstanding performance despite the noisy background commonly encountered in this kind of application.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSensors, 10 (8), 1-26.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectHabitat monitoringes
dc.subjectAudio monitoringes
dc.subjectSensor networkes
dc.subjectSound classificationes
dc.titleImproving classification algorithms by considering score series in wireless acoustic sensor networkses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería del Diseñoes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/18/8/2465es
dc.identifier.doi10.3390/s18082465es
dc.contributor.groupUniversidad de Sevilla. TEP022: Diseño Industrial e Ingeniería del Proyecto y la Innovaciónes
dc.contributor.groupUniversidad de Sevilla. TIC150: Tecnología Electrónica e Informática Industriales
idus.format.extent27 p.es
dc.journaltitleSensorses
dc.publication.volumen10es
dc.publication.issue8es
dc.publication.initialPage1es
dc.publication.endPage26es

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