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Acoustic identification of female Steller sea lions Eumetopias jubatus a Gregory S Campbellb Cetacean Behavior Laboratory College of Sciences San Diego State University 5500 Campanile Drive San Diego California 92182 4611 Robert C Gisiner Code 342 Office of Naval Research 800 North Quincy Street Arlington Virginia 22217 David A Helweg Code D3501E Space and Naval Warfare Systems Center San Diego 53560 Hull Street San Diego California 92152 5000 Linda L Milette Marine Mammal Research Unit Fisheries Center University of British Columbia 2204 Main Mall Vancouver British Columbia V6T 1Z4 Canada Received 30 May 2001 revised 28 January 2002 accepted 27 February 2002 Steller sea lion Eumetopias jubatus mothers and pups establish and maintain contact with individually distinctive vocalizations Our objective was to develop a robust neural network to classify females based on their mother pup contact calls We catalogued 573 contact calls from 25 females in 1998 and 1323 calls from 46 females in 1999 From this database a subset of 26 females with sufficient samples of calls was selected for further study Each female was identified visually by marking patterns which provided the verification for acoustic identification Average logarithmic spectra were extracted for each call and standardized training and generalization datasets created for the neural network classifier A family of backpropagation networks was generated to assess relative contribution of spectral input bandwidth frequency resolution and network architectural variables to classification accuracy The network with best overall generalization accuracy 71 used an input representation of 0 3 kHz of bandwidth at 10 77 Hz bin frequency resolution and a 2 1 hidden output layer neural ratio The network was analyzed to reveal which portions of the call spectra were most influential for identification of each female Acoustical identification of distinctive female acoustic signatures has several potentially important

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