Data/hora: 03/06/2024 08:28:36

Provedor de dados: | 42
País: | Brazil
Título: | Automated bioacoustic identification of species
Autores: | Chesmore,David.
Data: | 2004-06-01
Ano: | 2004
Palavras-chave: | Automated identification; Orthoptera; Bioacoustics; Time domain signal coding; Biodiversity informatics.
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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652004000200037
Editor: | Academia Brasileira de Ciências
Relação: | 10.1590/S0001-37652004000200037
Formato: | text/html
Fonte: | Anais da Academia Brasileira de Ciências  v.76 n.2 2004
Fonte: | info:eu-repo/semantics/openAccess