Prior research has shown that echolocation clicks of several species of terrestrial and marine fauna can be modelled as Gabor-like functions. Here, a system is proposed for the automatic detection of a variety of such signals. By means of mathematical formulation, it is shown that the output of the Teager–Kaiser Energy Operator (TKEO) applied to Gabor-like signals can be approximated by a Gaussian function. Based on the inferences, a detection algorithm involving the post-processing of the TKEO outputs is presented. The ratio of the outputs of two moving-average filters, a Gaussian and a rectangular filter, is shown to be an effective detection parameter. Detector performance is assessed using synthetic and real (taken from MobySound database) recordings. The detection method is shown to work readily with a variety of echolocation clicks and in various recording scenarios. The system exhibits low computational complexity and operates several times faster than real-time. Performance comparisons are made to other publicly available detectors including pamguard.
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June 2015
June 01 2015
Automatic detection of echolocation clicks based on a Gabor model of their waveform
Shyam Madhusudhana;
Shyam Madhusudhana
a)
Centre for Marine Science and Technology,
Curtin University
, Perth, Western Australia, Australia
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Alexander Gavrilov;
Alexander Gavrilov
Centre for Marine Science and Technology,
Curtin University
, Perth, Western Australia, Australia
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Christine Erbe
Christine Erbe
Centre for Marine Science and Technology,
Curtin University
, Perth, Western Australia, Australia
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a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 137, 3077–3086 (2015)
Article history
Received:
October 02 2014
Accepted:
May 08 2015
Citation
Shyam Madhusudhana, Alexander Gavrilov, Christine Erbe; Automatic detection of echolocation clicks based on a Gabor model of their waveform. J. Acoust. Soc. Am. 1 June 2015; 137 (6): 3077–3086. https://doi.org/10.1121/1.4921609
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