Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild
Harbour porpoises are well-suited for passive acoustic monitoring (PAM) as they produce highly stereotyped narrow-band high-frequency (NBHF) echolocation clicks. PAM systems must be coupled with a classification algorithm to identify the signals of interest. Here, we present a harbour porpoise click...
Published in: | The Journal of the Acoustical Society of America |
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ftustrathclyde:oai:strathprints.strath.ac.uk:68048 2024-05-19T07:41:38+00:00 Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild Cosentino, Mel Guarato, Francesco Tougaard, Jakob Nairn, David Jackson, Joseph C. Windmill, James F. C. 2019-06-12 text https://strathprints.strath.ac.uk/68048/ https://strathprints.strath.ac.uk/68048/1/Cosentino_etal_JASA2019_Porpoise_Click_Classifier_PorCC_a_high_accuracy_classifier_to_study_harbour_porpoises.pdf https://doi.org/10.1121/1.5110908 en eng https://strathprints.strath.ac.uk/68048/1/Cosentino_etal_JASA2019_Porpoise_Click_Classifier_PorCC_a_high_accuracy_classifier_to_study_harbour_porpoises.pdf Cosentino, Mel <https://strathprints.strath.ac.uk/view/author/1099225.html> and Guarato, Francesco <https://strathprints.strath.ac.uk/view/author/822508.html> and Tougaard, Jakob and Nairn, David and Jackson, Joseph C. <https://strathprints.strath.ac.uk/view/author/675239.html> and Windmill, James F. C. <https://strathprints.strath.ac.uk/view/author/623701.html> (2019 <https://strathprints.strath.ac.uk/view/year/2019.html>) Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild. Journal of the Acoustical Society of America <https://strathprints.strath.ac.uk/view/publications/Journal_of_the_Acoustical_Society_of_America.html>, 145. pp. 3427-3434. ISSN 0001-4966 Electrical engineering. Electronics Nuclear engineering Article PeerReviewed 2019 ftustrathclyde https://doi.org/10.1121/1.5110908 2024-05-01T00:04:31Z Harbour porpoises are well-suited for passive acoustic monitoring (PAM) as they produce highly stereotyped narrow-band high-frequency (NBHF) echolocation clicks. PAM systems must be coupled with a classification algorithm to identify the signals of interest. Here, we present a harbour porpoise click classifier (PorCC) developed in MATLAB, which uses the coefficients of two logistic regression models in a decision-making pathway to assign candidate signals to one of three categories: high-quality clicks (HQ), low-quality clicks (LQ), or high-frequency noise (N). The receiver operating characteristics of PorCC was compared to that of PAMGuard's Porpoise Click Detector/Classifier Module. PorCC outperformed PAMGuard’s classifier achieving higher hit rates (correctly classified clicks) and lower false alarm levels (noise classified as HQ or LQ clicks). Additionally, the detectability index (d') for HQ clicks for PAMGuard was 2.2 (overall d' = 2.0) versus 4.1 for PorCC (overall d' = 3.4). PorCC classification algorithm is a rapid and highly accurate method to classify NBHF clicks, which could be applied for real time monitoring, as well as to study harbour porpoises, and potentially other NBHF species, throughout their distribution range from data collected using towed hydrophones or static recorders. Moreover, PorCC is suitable for studies of acoustic communication of porpoises. Article in Journal/Newspaper Harbour porpoise Phocoena phocoena University of Strathclyde Glasgow: Strathprints The Journal of the Acoustical Society of America 145 6 3427 3434 |
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Open Polar |
collection |
University of Strathclyde Glasgow: Strathprints |
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ftustrathclyde |
language |
English |
topic |
Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
Electrical engineering. Electronics Nuclear engineering Cosentino, Mel Guarato, Francesco Tougaard, Jakob Nairn, David Jackson, Joseph C. Windmill, James F. C. Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild |
topic_facet |
Electrical engineering. Electronics Nuclear engineering |
description |
Harbour porpoises are well-suited for passive acoustic monitoring (PAM) as they produce highly stereotyped narrow-band high-frequency (NBHF) echolocation clicks. PAM systems must be coupled with a classification algorithm to identify the signals of interest. Here, we present a harbour porpoise click classifier (PorCC) developed in MATLAB, which uses the coefficients of two logistic regression models in a decision-making pathway to assign candidate signals to one of three categories: high-quality clicks (HQ), low-quality clicks (LQ), or high-frequency noise (N). The receiver operating characteristics of PorCC was compared to that of PAMGuard's Porpoise Click Detector/Classifier Module. PorCC outperformed PAMGuard’s classifier achieving higher hit rates (correctly classified clicks) and lower false alarm levels (noise classified as HQ or LQ clicks). Additionally, the detectability index (d') for HQ clicks for PAMGuard was 2.2 (overall d' = 2.0) versus 4.1 for PorCC (overall d' = 3.4). PorCC classification algorithm is a rapid and highly accurate method to classify NBHF clicks, which could be applied for real time monitoring, as well as to study harbour porpoises, and potentially other NBHF species, throughout their distribution range from data collected using towed hydrophones or static recorders. Moreover, PorCC is suitable for studies of acoustic communication of porpoises. |
format |
Article in Journal/Newspaper |
author |
Cosentino, Mel Guarato, Francesco Tougaard, Jakob Nairn, David Jackson, Joseph C. Windmill, James F. C. |
author_facet |
Cosentino, Mel Guarato, Francesco Tougaard, Jakob Nairn, David Jackson, Joseph C. Windmill, James F. C. |
author_sort |
Cosentino, Mel |
title |
Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild |
title_short |
Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild |
title_full |
Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild |
title_fullStr |
Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild |
title_full_unstemmed |
Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild |
title_sort |
porpoise click classifier (porcc) : a high-accuracy classifier to study harbour porpoises (phocoena phocoena) in the wild |
publishDate |
2019 |
url |
https://strathprints.strath.ac.uk/68048/ https://strathprints.strath.ac.uk/68048/1/Cosentino_etal_JASA2019_Porpoise_Click_Classifier_PorCC_a_high_accuracy_classifier_to_study_harbour_porpoises.pdf https://doi.org/10.1121/1.5110908 |
genre |
Harbour porpoise Phocoena phocoena |
genre_facet |
Harbour porpoise Phocoena phocoena |
op_relation |
https://strathprints.strath.ac.uk/68048/1/Cosentino_etal_JASA2019_Porpoise_Click_Classifier_PorCC_a_high_accuracy_classifier_to_study_harbour_porpoises.pdf Cosentino, Mel <https://strathprints.strath.ac.uk/view/author/1099225.html> and Guarato, Francesco <https://strathprints.strath.ac.uk/view/author/822508.html> and Tougaard, Jakob and Nairn, David and Jackson, Joseph C. <https://strathprints.strath.ac.uk/view/author/675239.html> and Windmill, James F. C. <https://strathprints.strath.ac.uk/view/author/623701.html> (2019 <https://strathprints.strath.ac.uk/view/year/2019.html>) Porpoise Click Classifier (PorCC) : a high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild. Journal of the Acoustical Society of America <https://strathprints.strath.ac.uk/view/publications/Journal_of_the_Acoustical_Society_of_America.html>, 145. pp. 3427-3434. ISSN 0001-4966 |
op_doi |
https://doi.org/10.1121/1.5110908 |
container_title |
The Journal of the Acoustical Society of America |
container_volume |
145 |
container_issue |
6 |
container_start_page |
3427 |
op_container_end_page |
3434 |
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1799481232422076416 |