Automatic identification of individual killer whales

Brown, J.C., Smaragdis, P. and Nousek-McGregor, A.E. (2010) Automatic identification of individual killer whales. Journal of the Acoustical Society of America, 128(3), EL93. (doi:10.1121/1.3462232)

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Abstract

Following the successful use of HMM and GMM models for classification of a set of 75 calls of northern resident killer whales into call types [Brown, J. C., and Smaragdis, P., J. Acoust. Soc. Am.125, 221–224 (2009)], the use of these same methods has been explored for the identification of vocalizations from the same call type N2 of four individual killer whales. With an average of 20 vocalizations from each of the individuals the pairwise comparisons have an extremely high success rate of 80 to 100% and the identifications within the entire group yield around 78%.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mcgregor, Dr Anna
Authors: Brown, J.C., Smaragdis, P., and Nousek-McGregor, A.E.
College/School:College of Medical Veterinary and Life Sciences > School of Life Sciences
Journal Name:Journal of the Acoustical Society of America
ISSN:0001-4966
ISSN (Online):1520-8524

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