• The Journal of the Acoustical Society of Korea
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• v.38 no.1
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• pp.56-65
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• 2019

The Indo-Pacific bottlenose dolphins (Tursiops aduncus) are a toothed whale using echolocation clicks and have been studied continuously abroad. However, most studies on this whale's clicks were performed about captive animals and, in Korea, only the studies of the whistle sounds of this animal were done. In this paper, acoustic characteristics of clicks were analyzed about the free-ranging Indo-Pacific bottlenose dolphins living in the coast of the Jeju Island. Acoustic parameters such as signal duration, 1st and 2nd peak frequency, 3 dB and 10 dB bandwidth for acoustic characteristics were calculated and compared with those of Australian species. As a result, the signal durations had average of $38{\mu}s$ and most clicks were within range of $20{\mu}s-60{\mu}s$. The two types of bandwidths showed both narrowband and broadband characteristics, and bimodal signal characteristics were confirmed through the 1st peak frequencies(average of $96kHz{\pm}18kHz$) and the 2nd peak frequencies(average of $69kHz{\pm}19kHz$).

• Korean Journal of Fisheries and Aquatic Sciences
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• v.50 no.4
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• pp.406-412
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• 2017

Vocalizations of the common dolphin Delphinus Delphis, were recorded from a single hydrophone while coastal visual survey was performed in the East Sea in March 2017. Like most Delphinidae, common dolphins produce whistles, echolocation clicks, and burst-pulsed calls, with repertoires that differ between species and geographically separated populations. This study focuses on using frequency analysis to classify sounds into three categories and to compare them with those of other common dolphin populations. The fundamental frequencies of the whistles were high in the 6 to 14 kHz range, while echolocation clicks were in the 40 to 90 kHz frequency band. These results are similar to high-energy distributions in the same frequency band in other regions. Based on this study of the acoustic characteristics of dolphins off the east coast of Korea, cetacean vocalizations can be classified using a database of cetacean sounds in Korea. In addition, this technique could improve data quality for visual whale surveys and could be applied to various other research subjects.