Visualization and categorization of ecological acoustic events based on discriminant features

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dc.contributor.authorHuancapaza Hilasaca, Liz Maribel
dc.contributor.authorGaspar, Lucas Pacciullio
dc.contributor.authorRibeiro, Milton Cezar
dc.contributor.authorMinghim, Rosane
dc.contributor.funderConselho Nacional de Desenvolvimento Científico e Tecnológicoen
dc.contributor.funderCoordenação de Aperfeiçoamento de Pessoal de Nível Superioren
dc.contributor.funderFundação de Amparo à Pesquisa do Estado de São Pauloen
dc.contributor.funderConselho Nacional de Desenvolvimento Científico e Tecnológicoen
dc.date.accessioned2021-02-05T14:10:11Z
dc.date.available2021-02-05T14:10:11Z
dc.date.issued2021-01-26
dc.date.updated2021-02-05T13:58:53Z
dc.description.abstractAlthough sound classification in soundscape studies are generally performed by experts, the large growth of acoustic data presents a major challenge for performing such task. At the same time, the identification of more discriminating features becomes crucial when analyzing soundscapes, and this occurs because natural and anthropogenic sounds are very complex, particularly in Neotropical regions, where the biodiversity level is very high. In this scenario, the need for research addressing the discriminatory capability of acoustic features is of utmost importance to work towards automating these processes. In this study we present a method to identify the most discriminant features for categorizing sound events in soundscapes. Such identification is key to classification of sound events. Our experimental findings validate our method, showing high discriminatory capability of certain extracted features from sound data, reaching an accuracy of 89.91% for classification of frogs, birds and insects simultaneously. An extension of these experiments to simulate binary classification reached accuracy of 82.64%,100.0% and 99.40% for the classification between combinations of frogs-birds, frogs-insects and birds-insects, respectively.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (Brazilian National Council for Scientific and Technological Development (CNPq), Grant No. 307411/2016-8); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Coordination for the Improvement of Higher Education Personnel (CAPES) Grant No. 133718/2018-2] - Finance Code 001); Fundação de Amparo à Pesquisa do Estado de São Paulo ( FAPESP (processes #2013/50421-2; #2020/01779-5): Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq (processes # 312045/2013-1; #312292/2016-3; #442147/2020-1) and PROCAD/CAPES (project # 88881.068425/2014–01))en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid107316en
dc.identifier.citationHuancapaza Hilasaca, L. M., Gaspar, L. P., Ribeiro, M. C. and Minghim, R. (2021) 'Visualization and categorization of ecological acoustic events based on discriminant features', Ecological Indicators, 107316 (11 pp). doi: 10.1016/j.ecolind.2020.107316en
dc.identifier.doi10.1016/j.ecolind.2020.107316en
dc.identifier.endpage11en
dc.identifier.issn1470-160X
dc.identifier.journaltitleEcological Indicatorsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/11045
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1470160X20312589
dc.rights© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectSoundscape ecologyen
dc.subjectDiscriminant featuresen
dc.subjectVisualizationen
dc.subjectClassificationen
dc.subjectFeature selectionen
dc.titleVisualization and categorization of ecological acoustic events based on discriminant featuresen
dc.typeArticle (peer-reviewed)en
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