Anais da Academia Brasileira de Ciências
versão impressa ISSN 0001-3765versão On-line ISSN 1678-2690
CHESMORE, David. Automated bioacoustic identification of species. An. Acad. Bras. Ciênc. [online]. 2004, vol.76, n.2, pp.436-440. ISSN 0001-3765. http://dx.doi.org/10.1590/S0001-37652004000200037.
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.
Palavras-chave : automated identification; Orthoptera; bioacoustics; time domain signal coding; biodiversity informatics.