Automatic identification of individual killer whales

被引：10

作者：

Brown, Judith C. ^{[1
,2
]}

Smaragdis, Paris ^{[3
]}

Nousek-McGregor, Anna ^{[4
]}

机构：

[1] Wellesley Coll, Dept Phys, Wellesley, MA 02481 USA

[2] MIT, Media Lab, Cambridge, MA 02139 USA

[3] Adobe Syst, Cambridge, MA 02139 USA

[4] Duke Marine Lab, Beaufort, NC 28516 USA

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA | 2010年 / 128卷 / 03期

关键词：

D O I：

10.1121/1.3462232

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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%. (C) 2010 Acoustical Society of America

引用

页码：EL93 / EL98

页数：6

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