4 April 1997 Identification of dolphin signature whistles using artificial neural networks
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sridhar Narayan, 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); doi: 10.1117/12.271492; https://doi.org/10.1117/12.271492
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