A COMPARISON OF 20-HZ FIN WHALE CALL DETECTORS

The benefit of passive acoustic monitoring is indisputable; it is non-invasive to marine life and can capture vast quantities of data over large stretches of space and time. The limiting factor of analysing large volumes of data quickly overwhelms the analyst, and by utilising some form of automatic...

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Bibliographic Details
Main Authors: Garibbo, Shaula, Blondel, Philippe, Heald, Gary, Hunter, Alan, Williams, Duncan
Other Authors: Carletti, Eleonora
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
detectors
long-term measurements
marine acoustics
/dk/atira/pure/subjectarea/asjc/3100/3102
name=Acoustics and Ultrasonics
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
Fin whale
Lofoten
Vesterålen
Online Access:https://researchportal.bath.ac.uk/en/publications/fd835c41-f67f-4a50-9848-fa8eddd39c08
https://purehost.bath.ac.uk/ws/files/299833353/ICSV_v3.pdf
http://www.scopus.com/inward/record.url?scp=85170648652&partnerID=8YFLogxK
Description
Summary:The benefit of passive acoustic monitoring is indisputable; it is non-invasive to marine life and can capture vast quantities of data over large stretches of space and time. The limiting factor of analysing large volumes of data quickly overwhelms the analyst, and by utilising some form of automatic signal identification this process can be substantially faster. Here we compare the performance of a deep learning detector, simple correlation, and a more traditional energy detector (or the fin whale index). Here we compare three detectors on data from the Lofoten-Vesterålen Observatory in Norway (northern Atlantic Ocean), and the Comprehensive Nuclear-Test-Ban-Treaty Organisations hydrophone station at Ascension Island (southern Atlantic Ocean).

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