Automatic detection method for monitoring odontocete echolocation clicks
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DOI: 10.1049/el.2016.4590
Abstract: Passive acoustic monitoring records large amounts of acoustic data, and thus an efficient detection method is essential to analyse these data. A novel approach is proposed to automatically detect odontocete echolocation clicks. A time–frequency filter… read more here.
Keywords: echolocation clicks; odontocete echolocation; detection method; echolocation ... See more keywords
Identification of western North Atlantic odontocete echolocation click types using machine learning and spatiotemporal correlates
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DOI: 10.1371/journal.pone.0264988
Abstract: A combination of machine learning and expert analyst review was used to detect odontocete echolocation clicks, identify dominant click types, and classify clicks in 32 years of acoustic data collected at 11 autonomous monitoring sites… read more here.
Keywords: machine learning; odontocete echolocation; beaked whales; click types ... See more keywords
Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods
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DOI: 10.1371/journal.pone.0266424
Abstract: Passive acoustic monitoring (PAM) has proven a powerful tool for the study of marine mammals, allowing for documentation of biologically relevant factors such as movement patterns or animal behaviors while remaining largely non-invasive and cost… read more here.
Keywords: odontocete echolocation; echolocation; machine learning; discriminating classifying ... See more keywords