Automatic detection of echolocation clicks based on a Gabor model of their waveform
|dc.identifier.citation||Madhusudhana, S. and Gavrilov, A. and Erbe, C. 2015. Automatic detection of echolocation clicks based on a Gabor model of their waveform. Journal of the Acoustical Society of America. 137 (6): pp. 3077-3086.|
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.
|dc.publisher||Acoustical Society of America|
|dc.title||Automatic detection of echolocation clicks based on a Gabor model of their waveform|
|dcterms.source.title||Journal of the Acoustical Society of America|
Copyright © 2015 Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.
|curtin.department||Centre for Marine Science and Technology|