Automated bioacoustic identification of species

Detalhes bibliográficos
Autor(a) principal: Chesmore,David
Data de Publicação: 2004
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652004000200037
Resumo: Research into the automated identification of animals by bioacoustics is becoming more widespread mainly due to difficulties in carrying out manual surveys. This paper describes automated recognition of insects (Orthoptera) using time domain signal coding and artificial neural networks. Results of field recordings made in the UK in 2002 are presented which show that it is possible to accurately recognize 4 British Orthoptera species in natural conditions under high levels of interference. Work is under way to increase the number of species recognized.
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spelling Automated bioacoustic identification of speciesautomated identificationOrthopterabioacousticstime domain signal codingbiodiversity informaticsResearch into the automated identification of animals by bioacoustics is becoming more widespread mainly due to difficulties in carrying out manual surveys. This paper describes automated recognition of insects (Orthoptera) using time domain signal coding and artificial neural networks. Results of field recordings made in the UK in 2002 are presented which show that it is possible to accurately recognize 4 British Orthoptera species in natural conditions under high levels of interference. Work is under way to increase the number of species recognized.Academia Brasileira de Ciências2004-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652004000200037Anais da Academia Brasileira de Ciências v.76 n.2 2004reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652004000200037info:eu-repo/semantics/openAccessChesmore,Davideng2004-06-08T00:00:00Zoai:scielo:S0001-37652004000200037Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2004-06-08T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Automated bioacoustic identification of species
title Automated bioacoustic identification of species
spellingShingle Automated bioacoustic identification of species
Chesmore,David
automated identification
Orthoptera
bioacoustics
time domain signal coding
biodiversity informatics
title_short Automated bioacoustic identification of species
title_full Automated bioacoustic identification of species
title_fullStr Automated bioacoustic identification of species
title_full_unstemmed Automated bioacoustic identification of species
title_sort Automated bioacoustic identification of species
author Chesmore,David
author_facet Chesmore,David
author_role author
dc.contributor.author.fl_str_mv Chesmore,David
dc.subject.por.fl_str_mv automated identification
Orthoptera
bioacoustics
time domain signal coding
biodiversity informatics
topic automated identification
Orthoptera
bioacoustics
time domain signal coding
biodiversity informatics
description Research into the automated identification of animals by bioacoustics is becoming more widespread mainly due to difficulties in carrying out manual surveys. This paper describes automated recognition of insects (Orthoptera) using time domain signal coding and artificial neural networks. Results of field recordings made in the UK in 2002 are presented which show that it is possible to accurately recognize 4 British Orthoptera species in natural conditions under high levels of interference. Work is under way to increase the number of species recognized.
publishDate 2004
dc.date.none.fl_str_mv 2004-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652004000200037
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652004000200037
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0001-37652004000200037
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.76 n.2 2004
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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