Automatic detection of echolocation clicks based on a Gabor model of their waveform
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...
| Main Authors: | , , |
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| Format: | Journal Article |
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Acoustical Society of America
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/34540 |
| _version_ | 1848754250331455488 |
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| author | Madhusudhana, S. Gavrilov, Alexander Erbe, Christine |
| author_facet | Madhusudhana, S. Gavrilov, Alexander Erbe, Christine |
| author_sort | Madhusudhana, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:37:25Z |
| format | Journal Article |
| id | curtin-20.500.11937-34540 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:37:25Z |
| publishDate | 2015 |
| publisher | Acoustical Society of America |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-345402017-09-13T15:11:18Z Automatic detection of echolocation clicks based on a Gabor model of their waveform Madhusudhana, S. Gavrilov, Alexander Erbe, Christine 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/34540 10.1121/1.4921609 Acoustical Society of America fulltext |
| spellingShingle | Madhusudhana, S. Gavrilov, Alexander Erbe, Christine Automatic detection of echolocation clicks based on a Gabor model of their waveform |
| title | Automatic detection of echolocation clicks based on a Gabor model of their waveform |
| title_full | Automatic detection of echolocation clicks based on a Gabor model of their waveform |
| title_fullStr | Automatic detection of echolocation clicks based on a Gabor model of their waveform |
| title_full_unstemmed | Automatic detection of echolocation clicks based on a Gabor model of their waveform |
| title_short | Automatic detection of echolocation clicks based on a Gabor model of their waveform |
| title_sort | automatic detection of echolocation clicks based on a gabor model of their waveform |
| url | http://hdl.handle.net/20.500.11937/34540 |