Marine Animal Sound Classification.

Abstract

Software was developed to measure characteristics of marine animal sounds (AcouStat). These measurements proved effective for classifying sounds in several contexts: identifying species, quantifying the repertoire of a single species, and identifying individuals. The sound measure included statistics for aggregate bandwidth, intensity, duration, amplitude modulation, frequency modulation, center frequency, and interactions among these variables. Classification analysis based on these measures suggests they adequately characterize the variability of bioacoustic signals for many problems. Correct classification to species was as high as 85%, and correct classification of dolphin whistles to individual was 90%,

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA289294

Entities

People

  • Kurt M. Fristrup
  • William A. Watkins

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Animals
  • Data Analysis
  • Databases
  • Feature Extraction
  • Frequency
  • Information Science
  • Marine Mammals
  • Measurement
  • Oceanography
  • Odontocetes
  • Power Spectra
  • Relational Databases
  • Statistical Analysis
  • Statistics
  • United States
  • Whales

Readers

  • Marine Mammal Biology
  • Optical Physics and Photonics.
  • Regression Analysis.