Abstract:
Detection, classification, and localization (DCL) research on marine mammal vocalizations has been in development for
decades, and methods for marine mammal population density estimation using acoustic data have been in development
since at least 2007. These efforts have been supported by MobySound, an archive of cetacean sounds used for studying call
detection and localization that are annotated to facilitate research in DCL. This project was aimed to begin development of
high-performing automatic detection methods for the sounds of beaked whales and other odontocetes. Specifically, this
report [1] details the newly collected odontocete recordings that have been added to the MobySound archive; [2]
documents continuing development of methods for detection and classification, including improvements to the Energy
Ratio Mapping Algorithm (ERMA) method for use on gliders and its extension to new species and populations; [3] reports
on development of a new method for estimating the population density of baleen whales using the summed energy in a
frequency band in which they vocalize; and [4] also reports on the successful production of datasets focused on odontocete
whistles and clicks and baleen whale calls for the Fifth Workshop on Detection, Classification, Localization, and Density
Estimation of Marine Mammals using Passive Acoustics.
