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    A generalized baleen whale call detection and classification system

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    JAS002889.pdf (1.884Mb)
    Date
    2011-05
    Author
    Baumgartner, Mark F.  Concept link
    Mussoline, Sarah E.  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/4619
    As published
    https://doi.org/10.1121/1.3562166
    DOI
    10.1121/1.3562166
    Keyword
     acoustic signal processing; bioacoustics; signal classification; underwater sound 
    Abstract
    Passive acoustic monitoring allows the assessment of marine mammal occurrence and distribution at greater temporal and spatial scales than is now possible with traditional visual surveys. However, the large volume of acoustic data and the lengthy and laborious task of manually analyzing these data have hindered broad application of this technique. To overcome these limitations, a generalized automated detection and classification system (DCS) was developed to efficiently and accurately identify low-frequency baleen whale calls. The DCS (1) accounts for persistent narrowband and transient broadband noise, (2) characterizes temporal variation of dominant call frequencies via pitch-tracking, and (3) classifies calls based on attributes of the resulting pitch tracks using quadratic discriminant function analysis (QDFA). Automated detections of sei whale (Balaenoptera borealis) downsweep calls and North Atlantic right whale (Eubalaena glacialis) upcalls were evaluated using recordings collected in the southwestern Gulf of Maine during the spring seasons of 2006 and 2007. The accuracy of the DCS was similar to that of a human analyst: variability in differences between the DCS and an analyst was similar to that between independent analysts, and temporal variability in call rates was similar among the DCS and several analysts.
    Description
    Author Posting. © Acoustical Society of America, 2011. This article is posted here by permission of Acoustical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Acoustical Society of America 129 (2011): 2889-2902, doi:10.1121/1.3562166.
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    • Biology
    Suggested Citation
    Journal of the Acoustical Society of America 129 (2011): 2889-2902
     

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