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1 August 2015 The Problem of Low Agreement among Automated Identification Programs for Acoustical Surveys of Bats
Cliff Lemen, Patricia W. Freeman, Jeremy A. White, Brett R. Andersen
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Abstract

We compared 4 programs designed to identify species of bats from their echolocation calls (Bat Call ID, EchoClass, Kaleidoscope Pro, and SonoBat) using field data collected in Nebraska, USA (29,782 files). Although we did not know the true identity of these bats, we could still compare the pairwise agreement between software packages when identifying the same call sequences. If accuracy is high in these software packages, there should be high agreement in identification. Agreement in identification by species averaged approximately 40% and varied by software package, species, and data set. Our results are not consistent with the high accuracy often claimed by some software packages and may be a warning about the importance of understanding accuracy of acoustical identification in designing ecological experiments and interpreting results.

© 2015
Cliff Lemen, Patricia W. Freeman, Jeremy A. White, and Brett R. Andersen "The Problem of Low Agreement among Automated Identification Programs for Acoustical Surveys of Bats," Western North American Naturalist 75(2), 218-225, (1 August 2015). https://doi.org/10.3398/064.075.0210
Received: 15 August 2014; Accepted: 1 February 2015; Published: 1 August 2015
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