Classification by multiple-resolution statistical analysis with application to automated recognition of marine mammal sounds

Journal of the Acoustical Society of America

Volumn 101, Issue 3, 1997, Pages 1516-1526

  Hayward, Thomas J ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; ALGORITHM; ARTICLE; AUTOMATION; BAYES THEOREM; COMPUTER PROGRAM; FOURIER TRANSFORMATION; LEARNING; MAMMAL; MARINE ENVIRONMENT; NONHUMAN; PATTERN RECOGNITION; PRIORITY JOURNAL; SOUND DETECTION; STATISTICAL ANALYSIS; VOCALIZATION; WHALE;

ALGORITHMS; ANIMALS; AUTOMATIC DATA PROCESSING; BAYES THEOREM; HUMANS; MAMMALS; MODELS, STATISTICAL; MODELS, THEORETICAL; OCEANS AND SEAS; SOUND; SOUND SPECTROGRAPHY; VOCALIZATION, ANIMAL;

EID: 0031043483     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.418106     Document Type: Article

References (12)

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3. W. S. Meisel, Computer-Oriented Approaches to Pattern Recognition (Academic, New York, 1972).
4. See Ref. 1, Chap. 3.
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11. W. A. Watkins, K. Fristrup, M. A. Daher, and T. Howald, "SOUND Database of Marine Animal Vocalizations; Structure and Operations," Woods Hole Oceanographic Institution, Technical Report WHOI-92-31, 1992.
12. J. R. Potter, D. K. Mellinger, and C. W. Clark, "Marine mammal call discrimination using artificial neural networks," J. Acoust. Soc. Am. 96, 1255-1262 (1994).