dc.creator | Romero-Lemos, Javier | es |
dc.creator | Luque Sendra, Amalia | es |
dc.creator | Carrasco Muñoz, Alejandro | es |
dc.date.accessioned | 2017-06-08T09:34:38Z | |
dc.date.available | 2017-06-08T09:34:38Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Romero, J., Luque, A. y Carrasco Muñoz, A. (2017). Animal Sound Classification using Sequential Classifiers. En BIOSTEC 2017: 10th International Joint Conference on Biomedical Engineering Systems and Technologies (242-247), Porto, Portugal: ScitePress Digital Library. | |
dc.identifier.isbn | 978-989-758-212-7 | es |
dc.identifier.uri | http://hdl.handle.net/11441/61124 | |
dc.description.abstract | Several authors have shown that the sounds of anurans can be used as an indicator of climate change. But
the recording, storage and further processing of a huge number of anuran’s sounds, distributed in time and
space, are required to obtain this indicator. It is therefore highly desirable to have algorithms and tools for
the automatic classification of the different classes of sounds. In this paper five different classification
methods are proposed, all of them based on the data mining domain, which try to take advantage of the
sound sequential behaviour. Its definition and comparison is undertaken using several approaches. The
sequential classifiers have revealed that they can obtain a better performance than their non-sequential
counterpart. The sliding window with an underlying decision tree has reached the best results in our tests,
even overwhelming the Hidden Markov Models usually employed in similar applications. A quite
remarkable overall classification performance has been obtained, a result even more relevant considering
the low quality of the analysed sounds. | es |
dc.description.sponsorship | Junta de Andalucía TIC-5705 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | ScitePress Digital Library | es |
dc.relation.ispartof | BIOSTEC 2017: 10th International Joint Conference on Biomedical Engineering Systems and Technologies (2017), p 242-247 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Sound Classification | es |
dc.subject | Data mining | es |
dc.subject | Sequential Classifiers | es |
dc.subject | Habitat Monitoring | es |
dc.title | Animal Sound Classification using Sequential Classifiers | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | TIC-5705 | es |
dc.relation.publisherversion | http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=y8TlqgvLkW8%3d&t=1 | es |
dc.identifier.doi | 10.5220/0006246002420247 | es |
idus.format.extent | 6 | es |
dc.publication.initialPage | 242 | es |
dc.publication.endPage | 247 | es |
dc.eventtitle | BIOSTEC 2017: 10th International Joint Conference on Biomedical Engineering Systems and Technologies | es |
dc.eventinstitution | Porto, Portugal | es |
dc.relation.publicationplace | Setubal, Portugal | es |
dc.contributor.funder | Junta de Andalucía | |