A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets
The growing availability of long-term and large-scale passive acoustic recordings open the possibility of monitoring the vocal activity of elusive oceanic species, such as fin whales (Balaenoptera physalus), in order to acquire knowledge on their distribution, behavior, population structure and abun...
Published in: | Journal of Marine Science and Engineering |
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Language: | English |
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ftunivgent:oai:archive.ugent.be:01GYYDE32Z2MGY7VEJVPGCB6Z6 2023-10-01T03:54:52+02:00 A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets Schall, Elena Parcerisas, Clea 2022 application/pdf https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6 http://hdl.handle.net/1854/LU-01GYYDE32Z2MGY7VEJVPGCB6Z6 https://doi.org/10.3390/jmse10121831 https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6/file/01GYYDFFWQG72MXB73S2NK70YM eng eng https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6 http://hdl.handle.net/1854/LU-01GYYDE32Z2MGY7VEJVPGCB6Z6 http://dx.doi.org/10.3390/jmse10121831 https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6/file/01GYYDFFWQG72MXB73S2NK70YM Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess JOURNAL OF MARINE SCIENCE AND ENGINEERING ISSN: 2077-1312 Technology and Engineering BALAENOPTERA-MUSCULUS BLUE CALLS OCEAN CLASSIFICATION PHYSALUS DISCRIMINATION PATTERNS fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis journalArticle info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftunivgent https://doi.org/10.3390/jmse10121831 2023-09-06T22:51:23Z The growing availability of long-term and large-scale passive acoustic recordings open the possibility of monitoring the vocal activity of elusive oceanic species, such as fin whales (Balaenoptera physalus), in order to acquire knowledge on their distribution, behavior, population structure and abundance. Fin whales produce low-frequency and high-intensity pulses, both as single vocalizations and as song sequences (only males) which can be detected over large distances. Numerous distant fin whales producing these pulses generate a so-called chorus, by spectrally and temporally overlapping single vocalizations. Both fin whale pulses and fin whale chorus provide a distinct source of information on fin whales present at different distances to the recording location. The manual review of vast amounts of passive acoustic data for the presence of single vocalizations and chorus by human experts is, however, time-consuming, often suffers from low reproducibility and in its entirety, it is practically impossible. In this publication, we present and compare robust algorithms for the automatic detection of fin whale choruses and pulses which yield good performance results (i.e., false positive rates < 3% and true positive rates > 76%) when applied to real-world passive acoustic datasets characterized by vast amounts of data, with only a small proportion of the data containing the target sounds, and diverse soundscapes from the Southern Ocean. Article in Journal/Newspaper Balaenoptera musculus Balaenoptera physalus Fin whale Southern Ocean Ghent University Academic Bibliography Southern Ocean Journal of Marine Science and Engineering 10 12 1831 |
institution |
Open Polar |
collection |
Ghent University Academic Bibliography |
op_collection_id |
ftunivgent |
language |
English |
topic |
Technology and Engineering BALAENOPTERA-MUSCULUS BLUE CALLS OCEAN CLASSIFICATION PHYSALUS DISCRIMINATION PATTERNS fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis |
spellingShingle |
Technology and Engineering BALAENOPTERA-MUSCULUS BLUE CALLS OCEAN CLASSIFICATION PHYSALUS DISCRIMINATION PATTERNS fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis Schall, Elena Parcerisas, Clea A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
topic_facet |
Technology and Engineering BALAENOPTERA-MUSCULUS BLUE CALLS OCEAN CLASSIFICATION PHYSALUS DISCRIMINATION PATTERNS fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis |
description |
The growing availability of long-term and large-scale passive acoustic recordings open the possibility of monitoring the vocal activity of elusive oceanic species, such as fin whales (Balaenoptera physalus), in order to acquire knowledge on their distribution, behavior, population structure and abundance. Fin whales produce low-frequency and high-intensity pulses, both as single vocalizations and as song sequences (only males) which can be detected over large distances. Numerous distant fin whales producing these pulses generate a so-called chorus, by spectrally and temporally overlapping single vocalizations. Both fin whale pulses and fin whale chorus provide a distinct source of information on fin whales present at different distances to the recording location. The manual review of vast amounts of passive acoustic data for the presence of single vocalizations and chorus by human experts is, however, time-consuming, often suffers from low reproducibility and in its entirety, it is practically impossible. In this publication, we present and compare robust algorithms for the automatic detection of fin whale choruses and pulses which yield good performance results (i.e., false positive rates < 3% and true positive rates > 76%) when applied to real-world passive acoustic datasets characterized by vast amounts of data, with only a small proportion of the data containing the target sounds, and diverse soundscapes from the Southern Ocean. |
format |
Article in Journal/Newspaper |
author |
Schall, Elena Parcerisas, Clea |
author_facet |
Schall, Elena Parcerisas, Clea |
author_sort |
Schall, Elena |
title |
A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
title_short |
A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
title_full |
A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
title_fullStr |
A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
title_full_unstemmed |
A robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
title_sort |
robust method to automatically detect fin whale acoustic presence in large and diverse passive acoustic datasets |
publishDate |
2022 |
url |
https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6 http://hdl.handle.net/1854/LU-01GYYDE32Z2MGY7VEJVPGCB6Z6 https://doi.org/10.3390/jmse10121831 https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6/file/01GYYDFFWQG72MXB73S2NK70YM |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Balaenoptera musculus Balaenoptera physalus Fin whale Southern Ocean |
genre_facet |
Balaenoptera musculus Balaenoptera physalus Fin whale Southern Ocean |
op_source |
JOURNAL OF MARINE SCIENCE AND ENGINEERING ISSN: 2077-1312 |
op_relation |
https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6 http://hdl.handle.net/1854/LU-01GYYDE32Z2MGY7VEJVPGCB6Z6 http://dx.doi.org/10.3390/jmse10121831 https://biblio.ugent.be/publication/01GYYDE32Z2MGY7VEJVPGCB6Z6/file/01GYYDFFWQG72MXB73S2NK70YM |
op_rights |
Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/jmse10121831 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
10 |
container_issue |
12 |
container_start_page |
1831 |
_version_ |
1778522889920708608 |