Classification Of Vocalizations Of Killer Whales Using Dynamic Time
A large number of whale sounds recorded from the Captive Killer Whale Population at Marineland of Antibes, France have recently been classified into Call Types using acoustic input and visual examination of spectral patterns [1]. The repetition rate of the pulsed component of five or more examples o...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.61.3332 2023-05-15T17:03:32+02:00 Classification Of Vocalizations Of Killer Whales Using Dynamic Time Warping Judith Brown Judith C. Brown The Pennsylvania State University CiteSeerX Archives application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.3332 http://web.media.mit.edu/~brown/./whaleclass2waspaa.ps en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.3332 http://web.media.mit.edu/~brown/./whaleclass2waspaa.ps Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://web.media.mit.edu/~brown/./whaleclass2waspaa.ps text ftciteseerx 2016-01-08T14:25:46Z A large number of whale sounds recorded from the Captive Killer Whale Population at Marineland of Antibes, France have recently been classified into Call Types using acoustic input and visual examination of spectral patterns [1]. 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 [2]. A distance matrix for these sounds was calculated using Dynamic Time Warping to compare the melodic contours. These distances were transformed into a component space using multidimensional scaling and the resulting points were clustered with a kmeans algorithm. Roughly 90 % agreement with the perceptual classification was obtained. Text Killer Whale Killer whale Unknown |
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ftciteseerx |
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English |
description |
A large number of whale sounds recorded from the Captive Killer Whale Population at Marineland of Antibes, France have recently been classified into Call Types using acoustic input and visual examination of spectral patterns [1]. 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 [2]. A distance matrix for these sounds was calculated using Dynamic Time Warping to compare the melodic contours. These distances were transformed into a component space using multidimensional scaling and the resulting points were clustered with a kmeans algorithm. Roughly 90 % agreement with the perceptual classification was obtained. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Warping Judith Brown Judith C. Brown |
spellingShingle |
Warping Judith Brown Judith C. Brown Classification Of Vocalizations Of Killer Whales Using Dynamic Time |
author_facet |
Warping Judith Brown Judith C. Brown |
author_sort |
Warping Judith Brown |
title |
Classification Of Vocalizations Of Killer Whales Using Dynamic Time |
title_short |
Classification Of Vocalizations Of Killer Whales Using Dynamic Time |
title_full |
Classification Of Vocalizations Of Killer Whales Using Dynamic Time |
title_fullStr |
Classification Of Vocalizations Of Killer Whales Using Dynamic Time |
title_full_unstemmed |
Classification Of Vocalizations Of Killer Whales Using Dynamic Time |
title_sort |
classification of vocalizations of killer whales using dynamic time |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.3332 http://web.media.mit.edu/~brown/./whaleclass2waspaa.ps |
genre |
Killer Whale Killer whale |
genre_facet |
Killer Whale Killer whale |
op_source |
http://web.media.mit.edu/~brown/./whaleclass2waspaa.ps |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.3332 http://web.media.mit.edu/~brown/./whaleclass2waspaa.ps |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766057427177832448 |