Automated bioacoustic identification of species

Anais da Academia Brasileira de Ciências

David Chesmore¹ 

[1] ,University of York Department of Electronics Intelligent Systems Research GroupHeslington York ,England

关键词: automated identification;    Orthoptera;    bioacoustics;    time domain signal coding;    biodiversity informatics;    identificação automatizada;    Orthoptera;    bioacústica;    codificação de sinais temporais;    informática da biodiversidade;   

DOI  :  10.1590/S0001-37652004000200037

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License