Automatic bird species recognition based on birds vocalization

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dc.contributor.authorŠťastný, Jiřícs
dc.contributor.authorMunk, Michalcs
dc.contributor.authorJuránek, Lubošcs
dc.coverage.issue12cs
dc.coverage.volume2018cs
dc.date.issued2018-12-14cs
dc.description.abstractThis paper deals with a project of Automatic Bird Species Recognition Based on Bird Vocalization. Eighteen bird species of 6 different families were analyzed. At first, human factor cepstral coefficients representing the given signal were calculated from particular recordings. In the next phase, using the voice activity detection system, segments of bird vocalizations were detected from which a likelihood rate, with which the given code value corresponds to the given model, was calculated using individual hidden Markov models. For each bird species, just one respective hidden Markov model was trained. The interspecific success of 81.2% has been reached. For classification into families, the success has reached 90.45%.en
dc.formattextcs
dc.format.extent1-7cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEurasip Journal on Audio, Speech, and Music Processing. 2018, vol. 2018, issue 12, p. 1-7.en
dc.identifier.doi10.1186/s13636-018-0143-7cs
dc.identifier.issn1687-4722cs
dc.identifier.orcid0000-0003-3724-6357cs
dc.identifier.other151882cs
dc.identifier.researcheridF-8025-2012cs
dc.identifier.scopus57191582635cs
dc.identifier.urihttp://hdl.handle.net/11012/137370
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofEurasip Journal on Audio, Speech, and Music Processingcs
dc.relation.urihttp://link.springer.com/article/10.1186/s13636-018-0143-7cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1687-4722/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectHFCCen
dc.subjectVADen
dc.subjectkNNen
dc.subjectHMMen
dc.subjectBird species recognitionen
dc.subjectBirdsong recognitionen
dc.subjectClassificationen
dc.titleAutomatic bird species recognition based on birds vocalizationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-151882en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:47:49en
sync.item.modts2025.01.17 18:49:10en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatikycs
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