Advanced Methods for Passive Acoustic Detection, Classification, and Localization of Marine Mammals
NOAA Pacific Marine Environmental Laboratory (PMEL) Newport United States
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For effective long-term passive acoustic monitoring of todays large data sets, automated algorithms must provide the ability to detect and classify marine mammal vocalizations and ultimately, in some cases, provide data for estimating the population density of the species present. In recent years, researchers have developed a number of algorithms for detecting calls and classifying them to species or species group such as beaked whales. Algorithms must be robust in real ocean environments where non-Gaussian and non-stationary noise sources, especially vocalizations from similar species, pose significant challenges. In this project, we are developing improved methods for detection, classification, and localization of many types of marine mammal sounds.