1993
DOI: 10.1121/1.407385
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A quantitative measure of similarity for tursiopstruncatus signature whistles

Abstract: Bottlenose dolphins (tursiops truncatus) produce individually distinctive narrow-band "signature whistles." These whistles may be differentiated by the structure of their frequency contours. An algorithm is presented for extracting frequency contours from whistles and comparing two such contours. This algorithm performs nonuniform time dilation to align the contours and provides a quantitative distance measure between the contours. Two recognition experiments using the algorithm on three dolphin whistles from … Show more

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Cited by 109 publications
(95 citation statements)
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“…The cross-correlation test used in this analysis was modified slightly from those described in other studies of signature vocalizations ͑e.g., Buck and Tyack, 1993;Janik, 1999;Watwood et al, 2005͒. In general, similarity between whistle contours can result either coarsely from a general overlap in frequency range and/or more finely from comparable frequency modulation ͑e.g., loop number, overall shape͒.…”
Section: Discussionmentioning
confidence: 99%
“…The cross-correlation test used in this analysis was modified slightly from those described in other studies of signature vocalizations ͑e.g., Buck and Tyack, 1993;Janik, 1999;Watwood et al, 2005͒. In general, similarity between whistle contours can result either coarsely from a general overlap in frequency range and/or more finely from comparable frequency modulation ͑e.g., loop number, overall shape͒.…”
Section: Discussionmentioning
confidence: 99%
“…Various approaches for vocalization classification have been applied to birds, land and marine mammals, including the application to acoustic censusing [62]. In cetaceans, various techniques have been employed in vocalization classification from their cepstral features including dynamic time warping [63], neural network [64], Gaussian mixture models, hidden Markov models [65], multi-class support vector machine model [66], and multivariate discriminant analysis [67]. Here we employ pitch-tracking to extract key features of humpback D-moan vocalizations and apply the centroid-based K-means [68] method to classify them.…”
Section: Discussionmentioning
confidence: 99%
“…Buck and Tyack, 1993;Clark et al, 1987;Mitani and Marler, 1989;Nowicki and Nelson, 1990;Rendell and Whitehead, 2003;Young et al, 1999). Additionally, the majority of this work has focused only on three species within the Batrachoididae (O. beta, O. tau and P. notatus) (Amorim, 2006;Bass and McKibben, 2003), despite the moderate diversity of the family, which contains 25 genera and 78 species (Greenfield et al, 2008) (see also Nelson, 2006).…”
Section: Introductionmentioning
confidence: 99%