Identification of dolphin signature whistles using artificial neural networks

Sridhar Narayan

doi:10.1117/12.271492

4 April 1997 Identification of dolphin signature whistles using artificial neural networks

Sridhar Narayan

Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271492
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Bottlenose dolphins produce individually distinctive `signature whistles'. This paper considers the feasibility of using artificial neural networks to identify individual dolphins using their signature whistles. The proposed scheme uses wavelet analysis to extract salient features from the signature whistles which are then classified by a neural network. Experimental results suggest that wavelet analysis followed by classification by neural networks may provide a reliable means of identifying dolphin signature whistles.

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Sridhar Narayan "Identification of dolphin signature whistles using artificial neural networks", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271492

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KEYWORDS

Artificial neural networks

Neural networks

Wavelets

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