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Acoustic Structures In The Alarm Calls Of Gunnison’S Prairie Dogs, C. N. Slobodchikoff, J. Placer
Acoustic Structures In The Alarm Calls Of Gunnison’S Prairie Dogs, C. N. Slobodchikoff, J. Placer
Con Slobodchikoff, PhD
Acoustic structures of sound in Gunnison’s prairie dog alarm calls are described, showing how these acoustic structures may encode information about three different predator species (red-tailed hawk—Buteo jamaicensis; domestic dog—Canis familaris; and coyote—Canis latrans). By dividing each alarm call into 25 equal-sized partitions and using resonant frequencies within each partition, commonly occurring acoustic structures were identified as components of alarm calls for the three predators. Although most of the acoustic structures appeared in alarm calls elicited by all three predator species, the frequency of occurrence of these acoustic structures varied among the alarm calls for the different predators, suggesting that …
Using Self-Organizing Maps To Recognize Acoustic Units Associated With Information Content In Animal Vocalizations, John Placer, C. N. Slobodchikoff, Jason Burns, Jeffrey Placer, Ryan Middleton
Using Self-Organizing Maps To Recognize Acoustic Units Associated With Information Content In Animal Vocalizations, John Placer, C. N. Slobodchikoff, Jason Burns, Jeffrey Placer, Ryan Middleton
Con Slobodchikoff, PhD
Kohonen self-organizing neural networks, also called self-organizing maps (SOMs), have been used successfully to recognize human phonemes and in this way to aid in human speech recognition. This paper describes how SOMS also can be used to associate specific information content with animal vocalizations. A SOM was used to identify acoustic units in Gunnison’s prairie dog alarm calls that were vocalized in the presence of three different predator species. Some of these acoustic units and their combinations were found exclusively in the alarm calls associated with a particular predator species and were used to associate predator species information with individual …