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This paper addresses the problem of automatic learning of statistical models of clicks for odontocete species classifications, particularly focusing on improving accuracy of the classifier by iteratively identifying click-like sounds that are likely to be noise and removing these from the model training set. The algorithm is weakly supervised in that no hand-labeled click regions are available, but...
Like other dolphins, Sousa Chinensis produces click signals to echolocate in underwater. Research on the source level (SL) of click signal transmitted by Sousa Chinensis is beneficial to understand the survival and behavior of such animals. In the shallow sea where the Sousa Chinensis lives, the underwater environment is so complex that causes the click signals propagation to the receiving hydrophone...
Information on the species diversity and habitat use of cetaceans can help us to understand the community ecology of marine top predators. Passive acoustic monitoring has been widely applied in the cetacean research in recent years since cetacean vocalizations can be effectively detected through automatic detection methods. However, species identification based on tonal sounds remains challenging...
In this paper, we study two non-linear processing approaches, inspired by biosonars, to enhance the delay-Doppler resolution. We use real linear frequency modulated (LFM) signals to fulfill a model, based on an abstraction and modification of the dolphin signals of certain species. With the help of Hilbert transform, two delay-Doppler images can be generated through single LFM signal. Non-linear algorithms...
Around 15–20 Ganges river dolphins (platanista gangetica) inhabit the 12-km stretch from Karnavas to Narora Barrage in the Ganges river system. However, more than 10 dolphins were carried away downstream after the flood of June-July 2013. In order to urgently conduct a quick census to secure the dolphins in the original habitat, the existing compact four-hydrophone array system (J-Array) was remodeled...
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