Classification of vocalizations of killer whales using dynamic time warping

被引:27
|
作者
Brown, JC [1 ]
Hodgins-Davis, A
Miller, PJO
机构
[1] Wellesley Coll, Dept Phys, Wellesley, MA 02481 USA
[2] MIT, Media Lab, Cambridge, MA 02139 USA
[3] Wellesley Coll, Dept Biol, Wellesley, MA 02481 USA
[4] Univ St Andrews, Sea Mammal Res Unit, St Andrews KY16 9QQ, Fife, Scotland
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关键词
D O I
10.1121/1.2166949
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A large number of killer whale sounds have recently been classified perceptually into Call Types. [A. Hodgins-Davis, thesis, Wellesley College (2004)]. The repetition rate of the pulsed component of five or more examples of each call type has been calculated using a modified form of the FFT based comb-filter method. A dissimilarity or distance matrix for these sounds was calculated using dynamic time warping to compare their melodic contours. These distances were transformed into a component space using multidimensional scaling and the resulting points were clustered with a kmeans algorithm. In grouping 57 sounds into 9 call types, a single discrepancy between the perceptual and the automated methods occurred. (c) 2006 Acoustical Society of America.
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页码:EL34 / EL40
页数:7
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