Automated bioacoustic identification of species

D Chesmore

Automated bioacoustic identification of species

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	435-440
Number of pages	6
Journal	Anais da Academia Brasileira de Ciencias
Volume	76
Issue number	2
Publication status	Published - Jun 2004

Keywords

automated identification
Orthoptera
bioacoustics
time domain signal coding
biodiversity
informatics
ARTIFICIAL NEURAL-NETWORKS
CLASSIFICATION
VOCALIZATIONS

Cite this

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KW - automated identification

KW - Orthoptera

KW - bioacoustics

KW - time domain signal coding

KW - biodiversity

KW - informatics

KW - ARTIFICIAL NEURAL-NETWORKS

KW - CLASSIFICATION

KW - VOCALIZATIONS

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