Development of Automated Whistle and Click Classifiers for Odontocete Species in the Western Atlantic Ocean and the Waters Surrounding the Hawaiian Islands

Abstract

The primary objective of this effort is to develop combined automated whistle and echolocation click classifiers for odontocete species in the northwest Atlantic Ocean, the waters surrounding the Hawaiian Islands and the temperate Pacific Ocean. We will also incorporate ancillary information (e.g., vocalization rate, relative abundance of whistles and clicks, latitude of acoustic encounter) about acoustic encounters into the classifiers in an effort to improve the accuracy of classification results. These classifiers will be implemented in an existing whistle classifier, known as the Real-time Odontocete Call Classification Algorithm (ROCCA). ROCCA currently is available to users as a module in the acoustic processing software platform PAMGuard (Gillespie et al. 2008). Additionally, we will examine geographic variation in the characteristics of whistles and clicks produced by species that are found in two or more of the three areas included in this effort. These comparisons will provide important information about the necessity of creating different classifiers for different geographic areas.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2015
Accession Number
AD1014287

Entities

People

  • Julie N. Oswald
  • Tina M. Yack

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustic Signals
  • Algorithms
  • Atlantic Ocean
  • Biosonar
  • Central America
  • Classification
  • Descriptive Analytics
  • Detection
  • Detectors
  • Fish
  • Frequency
  • Geographic Regions
  • Machine Learning
  • Oceans
  • Odontocetes
  • Pacific Ocean

Readers

  • Computer Vision.
  • Marine Mammal Biology