Automatic detection of marine mammals using information entropy
This article describes an automatic detector for marine mammal vocalizations. Even though therehas been previous research on optimizing automatic detectors for specific calls or specific species,the detection of any type of call by a diversity of marine mammal species still poses quite achallenge—an...
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Online Access: | https://hdl.handle.net/20.500.11937/22377 https://doi.org/10.1121/1.2982368 |
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ftcurtin:oai:espace.curtin.edu.au:20.500.11937/22377 2023-06-11T04:09:26+02:00 Automatic detection of marine mammals using information entropy Erbe, Christine King, A. 2008 restricted https://hdl.handle.net/20.500.11937/22377 https://doi.org/10.1121/1.2982368 unknown Acoustical Soceity of America http://www.ncbi.nlm.nih.gov/pubmed/19045771 http://hdl.handle.net/20.500.11937/22377 doi:10.1121/1.2982368 Journal Article 2008 ftcurtin https://doi.org/20.500.11937/2237710.1121/1.2982368 2023-05-30T19:31:40Z This article describes an automatic detector for marine mammal vocalizations. Even though therehas been previous research on optimizing automatic detectors for specific calls or specific species,the detection of any type of call by a diversity of marine mammal species still poses quite achallenge—and one that is faced more frequently as the scope of passive acoustic monitoring studiesand the amount of data collected increase. Information Shannon entropy measures the amount ofinformation in a signal. A detector based on spectral entropy surpassed two commonly useddetectors based on peak-energy detection. Receiver operating characteristic curves were computedfor performance comparison. The entropy detector performed considerably faster than real time. Itcan be used as a first step in an automatic signal analysis yielding potential signals. It should befollowed by automatic classification, recognition, and identification algorithms to group and identifysignals. Examples are shown from underwater recordings in the Western Canadian Arctic. Calls ofa variety of cetacean and pinniped species were detected. Article in Journal/Newspaper Arctic Curtin University: espace Arctic The Journal of the Acoustical Society of America 124 5 2833 2840 |
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Curtin University: espace |
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This article describes an automatic detector for marine mammal vocalizations. Even though therehas been previous research on optimizing automatic detectors for specific calls or specific species,the detection of any type of call by a diversity of marine mammal species still poses quite achallenge—and one that is faced more frequently as the scope of passive acoustic monitoring studiesand the amount of data collected increase. Information Shannon entropy measures the amount ofinformation in a signal. A detector based on spectral entropy surpassed two commonly useddetectors based on peak-energy detection. Receiver operating characteristic curves were computedfor performance comparison. The entropy detector performed considerably faster than real time. Itcan be used as a first step in an automatic signal analysis yielding potential signals. It should befollowed by automatic classification, recognition, and identification algorithms to group and identifysignals. Examples are shown from underwater recordings in the Western Canadian Arctic. Calls ofa variety of cetacean and pinniped species were detected. |
format |
Article in Journal/Newspaper |
author |
Erbe, Christine King, A. |
spellingShingle |
Erbe, Christine King, A. Automatic detection of marine mammals using information entropy |
author_facet |
Erbe, Christine King, A. |
author_sort |
Erbe, Christine |
title |
Automatic detection of marine mammals using information entropy |
title_short |
Automatic detection of marine mammals using information entropy |
title_full |
Automatic detection of marine mammals using information entropy |
title_fullStr |
Automatic detection of marine mammals using information entropy |
title_full_unstemmed |
Automatic detection of marine mammals using information entropy |
title_sort |
automatic detection of marine mammals using information entropy |
publisher |
Acoustical Soceity of America |
publishDate |
2008 |
url |
https://hdl.handle.net/20.500.11937/22377 https://doi.org/10.1121/1.2982368 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.ncbi.nlm.nih.gov/pubmed/19045771 http://hdl.handle.net/20.500.11937/22377 doi:10.1121/1.2982368 |
op_doi |
https://doi.org/20.500.11937/2237710.1121/1.2982368 |
container_title |
The Journal of the Acoustical Society of America |
container_volume |
124 |
container_issue |
5 |
container_start_page |
2833 |
op_container_end_page |
2840 |
_version_ |
1768383296010452992 |