Xie, Jie, Towsey, Michael, Yasumiba, Kiyomi, Zhang, Jonglan, and Roe, Paul (2015) Detection of anuran calling activity in long field recordings for bio-acoustic monitoring. In: Proceedings of the Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing. pp. 1-6. From: ISSNIP 2015: Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 7-9 April 2015, Singapore.

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Abstract

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.

Item ID:	44441
Item Type:	Conference Item (Research - E1)
Funders:	China Scholarship Council (CRC)
Date Deposited:	12 Jul 2016 23:37
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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