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 ab...
Published in: | Journal of Marine Science and Engineering |
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2022
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ftdoajarticles:oai:doaj.org/article:5ca59ee6d04445d78489c14ff4d3bb50 2023-05-15T15:36:34+02:00 A Robust Method to Automatically Detect Fin Whale Acoustic Presence in Large and Diverse Passive Acoustic Datasets Elena Schall Clea Parcerisas 2022-11-01T00:00:00Z https://doi.org/10.3390/jmse10121831 https://doaj.org/article/5ca59ee6d04445d78489c14ff4d3bb50 EN eng MDPI AG https://www.mdpi.com/2077-1312/10/12/1831 https://doaj.org/toc/2077-1312 doi:10.3390/jmse10121831 2077-1312 https://doaj.org/article/5ca59ee6d04445d78489c14ff4d3bb50 Journal of Marine Science and Engineering, Vol 10, Iss 1831, p 1831 (2022) fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 article 2022 ftdoajarticles https://doi.org/10.3390/jmse10121831 2022-12-30T19:31:24Z 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 physalus Fin whale Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean Journal of Marine Science and Engineering 10 12 1831 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
spellingShingle |
fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Elena Schall Clea Parcerisas A Robust Method to Automatically Detect Fin Whale Acoustic Presence in Large and Diverse Passive Acoustic Datasets |
topic_facet |
fin whale Balaenoptera physalus automatic detection chorus 20 Hz pulse kurtosis Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
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 |
Elena Schall Clea Parcerisas |
author_facet |
Elena Schall Clea Parcerisas |
author_sort |
Elena Schall |
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 |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/jmse10121831 https://doaj.org/article/5ca59ee6d04445d78489c14ff4d3bb50 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Balaenoptera physalus Fin whale Southern Ocean |
genre_facet |
Balaenoptera physalus Fin whale Southern Ocean |
op_source |
Journal of Marine Science and Engineering, Vol 10, Iss 1831, p 1831 (2022) |
op_relation |
https://www.mdpi.com/2077-1312/10/12/1831 https://doaj.org/toc/2077-1312 doi:10.3390/jmse10121831 2077-1312 https://doaj.org/article/5ca59ee6d04445d78489c14ff4d3bb50 |
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_ |
1766366936263819264 |