Journal Article10.1121/1.3508076
Software for viewing and checking automatic detections.
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TL;DR: A system is described for checking errors of automatic detection of animal vocalizations, which allows for rapid checking of detected sounds and calculation of the false‐positive (wrong‐detection) error rate.
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Abstract: Automatic detection of animal vocalizations is now used widely for handling long‐duration recording. Automatic detection methods inevitably make some errors—both false positive (wrong detection) and false negative (missed call) errors. Here a system is described for checking these errors. The MATLAB system “Osprey” allows viewing spectrograms, manipulating their parameters, and making various measurements of the displayed sounds. Another program, “checkDetections”, takes a log file that was output by an automatic detection software and systematically displays the detected sound in Osprey, allows a user to indicate whether the detection is correct, and then skips to the next detection in the log. This allows for rapid checking of detected sounds and calculation of the false‐positive (wrong‐detection) error rate. A second system, “checkMissedCalls”, displays random segments of sound in which no calls were found and allows the user to check whether there really were calls. This allows the user to estimate th...
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Citations
Correction: Near-Real-Time Acoustic Monitoring of Beaked Whales and Other Cetaceans Using a Seaglider™
Holger Klinck,David K. Mellinger,Karolin Klinck,Neil M. Bogue,James C. Luby,William A. Jump,Geoffrey B. Shilling,Trina Litchendorf,Angela S. Wood,Gregory S. Schorr,Robin W. Baird +10 more
TL;DR: In this paper, an error in affiliation for authors Holger Klinck, David K. Mellinger, and Karolin Klnck was made. Affiliation 1 should be: Cooperative Institute for Marine Resources Studies, Oregon State University and NOAA Pacific Marine Environmental Laboratory, Hatfield Marine Science Center, Newport, Oregon, United States of America
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Datasets of odontocete sounds annotated for developing automatic detection methods
David K Mellinger
- 01 Dec 2010
TL;DR: In this paper, the authors present a new method for estimating the population density of baleen whales using the summed energy in a frequency band in which they vocalize, and also report on the successful production of datasets focused on odontocete whistles and clicks.
Near-Real-Time Acoustic Monitoring of Beaked Whales and Other Cetaceans Using a Seaglider™
Holger Klinck,David K. Mellinger,Karolin Klinck,Neil M. Bogue,James C. Luby,William A. Jump,Geoffrey B. Shilling,Trina Litchendorf,Angela S. Wood,Gregory S. Schorr,Robin W. Baird +10 more
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