Detection and recognition of North Atlantic right whale contact calls in the presence of ambient noise
AbstractThe problem of detection and recognition of contact calls produced by North Atlantic right whales, Eubalaena glacialis, is considered. A proposed solution is based on a multiple-stage hypothesis-testing technique involving a spectrogram-based detector, spectrogram testing, and feature vector testing algorithms. Results show that the proposed technique is able to detect over 80% of the contact calls detected by a human operator and to produce about 26 false alarms per 24 h of observation.
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