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 co...
| Published in: | The Journal of the Acoustical Society of America |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://risweb.st-andrews.ac.uk/portal/en/researchoutput/classification-of-vocalizations-of-killer-whales-using-dynamic-time-warping(23c16186-adb5-4b52-bd1e-5c54c84f3a6c).html https://doi.org/10.1121/1.2166949 http://www.scopus.com/inward/record.url?scp=33644660932&partnerID=8YFLogxK |
| Summary: | 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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