Classification of vocalizations of killer whales using dynamic time warping.
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.
Judith C
JC
Brown
Andrea
A
Hodgins-Davis
Patrick J O
PJ
Miller
D000465:Algorithms; D000818:Animals; D016000:Cluster Analysis; D010898:Pitch Perception / Q000502:physiology; D013018:Sound Spectrography; D013997:Time Factors; D014828:Vocalization, Animal / Q000145:classification* / Q000502:physiology; D050685:Whale, Killer / Q000502:physiology*