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Proceedings Paper

Identification of dolphin signature whistles using artificial neural networks
Author(s): Sridhar Narayan
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Paper 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.

Paper Details

Date Published: 4 April 1997
PDF: 4 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271492
Show Author Affiliations
Sridhar Narayan, Univ. of North Carolina/Wilmington (United States)

Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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