Datasets of Odontocete Sounds Annotated for Developing Automatic Detection Methods, FY09-10
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.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.NPS Report Number
NPS-OC-12-004CRRelated items
Showing items related by title, author, creator and subject.
-
Detection, classification, and density estimation of marine mammals: final report
Mellinger, David K. (Monterey, California : Naval Postgraduate School, 2012); NPS-OC-13-001CRDetection, 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 ... -
AUTONOMOUS INTERIOR MAPPING ROBOT UTILIZING LIDAR LOCALIZATION AND MAPPING
Payne, Jameson S. (Monterey, CA; Naval Postgraduate School, 2020-09);Combat actions are planned based on the best available information. In nearly all situations, significant uncertainty about the combat environment exists. This uncertainty contributes largely to friendly and non-combatant ... -
Cyber System Assurance through Improved Network Anomaly Modeling and Detection
Bollmann, Chad A. (Monterey, California: Naval Postgraduate SchoolMonterey, California. Naval Postgraduate School, 2019-12); NPS-19-N039-AThe objectives of this work were to investigate the source of the dual natures of network traffic (i.e., Gaussian and alpha-stable) in order prove the merit of further development, improvement, and application of non-parametric ...