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Acoustic classification of false killer whales in the Hawaiian islands based on comprehensive vocal repertoire
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2021
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Source: JASA Express Letters, 1(7)
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Journal Title:JASA Express Letters
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Description:Use of underwater passive acoustic datasets for species-specific inference requires robust classification systems to identify encounters to species from characteristics of detected sounds. A suite of routines designed to efficiently detect cetacean sounds, extract features, and classify the detection to species is described using ship-based, visually verified detections of false killer whales (Pseudorca crassidens). The best-performing model included features from clicks, whistles, and burst pulses, which correctly classified 99.6% of events. This case study illustrates use of these tools to build classifiers for any group of cetacean species and assess classification confidence when visual confirmation is not available.
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Source:JASA Express Letters, 1(7)
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Rights Information:Other
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Compliance:Submitted
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