Detection of anuran calling activity in long field recordings for bio-acoustic monitoring


Autoria(s): Xie, Jie; Towsey, Michael; Yasumiba, Kiyomi; Zhang, Jinglan; Roe, Paul
Data(s)

2015

Resumo

This paper presents a system to analyze long field recordings with low signal-to-noise ratio (SNR) for bio-acoustic monitoring. A method based on spectral peak track, Shannon entropy, harmonic structure and oscillation structure is proposed to automatically detect anuran (frog) calling activity. Gaussian mixture model (GMM) is introduced for modelling those features. Four anuran species widespread in Queensland, Australia, are selected to evaluate the proposed system. A visualization method based on extracted indices is employed for detection of anuran calling activity which achieves high accuracy.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/89672/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/89672/1/Detection%20of%20anuran%20calling%20activity%20in%20long%20field%20recordings%20for%20bio-acoustic%20monitoring%20-%20final.pdf

DOI:10.1109/ISSNIP.2015.7106925

Xie, Jie, Towsey, Michael, Yasumiba, Kiyomi, Zhang, Jinglan, & Roe, Paul (2015) Detection of anuran calling activity in long field recordings for bio-acoustic monitoring. In 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), IEEE, Singapore, pp. 1-6.

Direitos

Copyright 2015 IEEE

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Fonte

Science & Engineering Faculty

Palavras-Chave #050202 Conservation and Biodiversity #080104 Computer Vision #080106 Image Processing #090609 Signal Processing #anzsrc Australian and New Zealand Standard Research Class #Anuran calling activity detection #canetoad detection #frog detection #spectral peak track #Gaussian mixture model
Tipo

Conference Paper