Developing new metrics for the investigation of animal vocalizations

Intelligent Automation and Soft Computing

Volumn 7, Issue 4, 2001, Pages 249-258

  Placer, John ^a   Slobodchikoff, C N ^a  

^a NORTHERN ARIZONA UNIVERSITY   (United States)

Author keywords

Acoustic; Alarm calls; Fuzzy logic; Neural nets; Prairie dogs

Indexed keywords

EID: 0012060137     PISSN: 10798587     EISSN: 2326005X     Source Type: Journal    
DOI: 10.1080/10798587.2000.10642822     Document Type: Article

References (21)

1. Owings, D. and R. Virginia, “Alarm calls of California ground squirrels.” Tierpsychologie. vol. 44.1978. pp. 58-70.
2. Seyrth, R., D Cheney, and P. Marler. “Vervet monkey alarm calls: semantic communication in a fiee-ranging pnmate". Animal Behaviour. vol. 28.1980. pp. 1070-1094.
3. Beynon, R. and O. Rasa. -Do dwarf mongooses have a language? Warning vocalizations transmit complex information”. South.ifrican Journal of Science. vol 85, 1989. pp. 447-150.
4. Gyger, M., Marler, P. , and Picken, R., "Semantics of an a’.ian alarm caU system: tie male domestic fowl.”,.inimal Behaviour. vol. 102.1987. pp. 15-40.
5. Greene, E., and T. Meagher. "Red squirrels. Tamiasciurus hudsonicus. produce predator-class specific alarm calls.”. Animal Behaviour; vol. 55,1998, pp. 511-518.
6. Chabot, D., “A quantitative technique to compare and classify humpback whale (Megaptera novaeangliae) sounds". Etiology. vol. 11-, 1988. pp 89-102.
7. Owren M., and R. H. Bernacki. "The acoustic features of vervet monkey alarm calls.”. J. Acoust. Soc. Am. voL 83.1988. pp. 1927-1935.
8. Siumstein D., and K. Armitage. "Alarm callmg in yellow-bellied marmots. L The meaning of situadonally variable alarm calls.”, Animal Behaviour. voL 53,1997, pp. 143-171.
9. Reby, D., S. Let, I. Dimopoulos, J. Joachim, J. Lauga, and S. Aulagnier, ‘-Artificial neural networks as a classification method in the behavioral sciences”, Behavioural Processes, vol. 40. 1997. pp. 35-43.
10. Mercado, E. and A. Kuh, -Classification of Humpback Whale Vocalizations Usmg a Self- Organizing Neural Network. Proceedings of the Internationa! Joint Conference on Neural Setworks. Anchorage. Alaska, May 4-9.1998. pp. 1584-1589.
11. Zadeh, L., “Fuzzy Sets.", J. Inf. Contr. vol. 8, no 2.19(55. pp. 338-353).
12. Ross, T. Ftasy Logic With Engineering Applications. McGraw-Hill. 1995.
13. Faucett, L. Fundamentals of Xeurai.Ve ruorfc. Prentice Hall 1994.
14. Rumelhan, D., G. Hinton, and R. Williams. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. 1 Foundations, MIT Press Bradford Books. 1986.
15. Slobodchikoff, C., J. Kiriazis, C. Fischer, and E. Creef, "Semantic information distinguishing individual predators in the alarm calls of Gunnison's prairie dogs.”. Animal Behaviour. 42, 1991, pp 713-719.
16. Slobodchikoff C., C. Fischer, and J. Shapiro. "Predator-specific alarm calls of prairie dogs/’, American Zoologist. 26, 1986. pp. 557.
17. Kiriazis, J., "Communication and Sociality in Gunnison's prairie dogs.” Ph.D dissenation. Northern Arizona University. 1991.
18. Slobodchikoff, C., and R. Coast Dialects m the alarm calls of prairie dogs”. Behavioral Ecology and Sociology. voL 7,1980. pp. 49-53.
19. Slobodchikoff C., S. Ackers, and M. Van Ert 'Geographical variation in the alarm calls of prairie dogs.”, Journal of Mammalogy. vol 79,1998. pp 1265-1272.
20. Dillon, W., and M. Coldstein. Multiv ariate Analy sis, John Wiley & Sons. 1984.
21. Ackers, S., and C. Slobodchikoff. "Communication of stimulus size and shape in alarm calls of Gunnison's prairie dogs.”, Ethology,'. voL 105,1999, pp. 149-162.