An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors

Abstract Since 2001, hundreds of thousands of hours of underwater acoustic recordings have been made throughout the Southern Ocean south of 60° S. Detailed analysis of the occurrence of marine mammal sounds in these circumpolar recordings could provide novel insights into their ecology, but manual i...

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Autores principales:	Brian S. Miller, The IWC-SORP/SOOS Acoustic Trends Working Group, Naysa Balcazar, Sharon Nieukirk, Emmanuelle C. Leroy, Meghan Aulich, Fannie W. Shabangu, Robert P. Dziak, Won Sang Lee, Jong Kuk Hong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1b59efa24b8d4122be503738d4888632
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spelling	oai:doaj.org-article:1b59efa24b8d4122be503738d48886322021-12-02T14:12:46ZAn open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors10.1038/s41598-020-78995-82045-2322https://doaj.org/article/1b59efa24b8d4122be503738d48886322021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78995-8https://doaj.org/toc/2045-2322Abstract Since 2001, hundreds of thousands of hours of underwater acoustic recordings have been made throughout the Southern Ocean south of 60° S. Detailed analysis of the occurrence of marine mammal sounds in these circumpolar recordings could provide novel insights into their ecology, but manual inspection of the entirety of all recordings would be prohibitively time consuming and expensive. Automated signal processing methods have now developed to the point that they can be applied to these data in a cost-effective manner. However training and evaluating the efficacy of these automated signal processing methods still requires a representative annotated library of sounds to identify the true presence and absence of different sound types. This work presents such a library of annotated recordings for the purpose of training and evaluating automated detectors of Antarctic blue and fin whale calls. Creation of the library has focused on the annotation of a representative sample of recordings to ensure that automated algorithms can be developed and tested across a broad range of instruments, locations, environmental conditions, and years. To demonstrate the utility of the library, we characterise the performance of two automated detection algorithms that have been commonly used to detect stereotyped calls of blue and fin whales. The availability of this library will facilitate development of improved detectors for the acoustic presence of Southern Ocean blue and fin whales. It can also be expanded upon to facilitate standardization of subsequent analysis of spatiotemporal trends in call-density of these circumpolar species.Brian S. MillerThe IWC-SORP/SOOS Acoustic Trends Working GroupNaysa BalcazarSharon NieukirkEmmanuelle C. LeroyMeghan AulichFannie W. ShabanguRobert P. DziakWon Sang LeeJong Kuk HongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Brian S. Miller The IWC-SORP/SOOS Acoustic Trends Working Group Naysa Balcazar Sharon Nieukirk Emmanuelle C. Leroy Meghan Aulich Fannie W. Shabangu Robert P. Dziak Won Sang Lee Jong Kuk Hong An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
description	Abstract Since 2001, hundreds of thousands of hours of underwater acoustic recordings have been made throughout the Southern Ocean south of 60° S. Detailed analysis of the occurrence of marine mammal sounds in these circumpolar recordings could provide novel insights into their ecology, but manual inspection of the entirety of all recordings would be prohibitively time consuming and expensive. Automated signal processing methods have now developed to the point that they can be applied to these data in a cost-effective manner. However training and evaluating the efficacy of these automated signal processing methods still requires a representative annotated library of sounds to identify the true presence and absence of different sound types. This work presents such a library of annotated recordings for the purpose of training and evaluating automated detectors of Antarctic blue and fin whale calls. Creation of the library has focused on the annotation of a representative sample of recordings to ensure that automated algorithms can be developed and tested across a broad range of instruments, locations, environmental conditions, and years. To demonstrate the utility of the library, we characterise the performance of two automated detection algorithms that have been commonly used to detect stereotyped calls of blue and fin whales. The availability of this library will facilitate development of improved detectors for the acoustic presence of Southern Ocean blue and fin whales. It can also be expanded upon to facilitate standardization of subsequent analysis of spatiotemporal trends in call-density of these circumpolar species.
format	article
author	Brian S. Miller The IWC-SORP/SOOS Acoustic Trends Working Group Naysa Balcazar Sharon Nieukirk Emmanuelle C. Leroy Meghan Aulich Fannie W. Shabangu Robert P. Dziak Won Sang Lee Jong Kuk Hong
author_facet	Brian S. Miller The IWC-SORP/SOOS Acoustic Trends Working Group Naysa Balcazar Sharon Nieukirk Emmanuelle C. Leroy Meghan Aulich Fannie W. Shabangu Robert P. Dziak Won Sang Lee Jong Kuk Hong
author_sort	Brian S. Miller
title	An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
title_short	An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
title_full	An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
title_fullStr	An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
title_full_unstemmed	An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
title_sort	open access dataset for developing automated detectors of antarctic baleen whale sounds and performance evaluation of two commonly used detectors
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1b59efa24b8d4122be503738d4888632
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An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors

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