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Using self-organizing maps to recognize acoustic units associated with information content in animal vocalizations

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Placer, John, Slobodchikoff, Constantine N, Burns, Jason, Placer, Jeffrey, and Middleton, Ryan, Using self-organizing maps to recognize acoustic units associated with information content in animal vocalizations: .

Summary

Kohonenself-organizing neural networks, also called self-organizing maps (SOMs), have beenused successfully to recognize human phonemes and in this wayto aid in human speech recognition. This paper describes howSOMS also can be used to associate specific information contentwith animal vocalizations. A SOM was used to identify acousticunits in Gunnison's prairie dog alarm calls that were vocalizedin the presence of three different predator species. Some ofthese acoustic units and their combinations were found exclusively inthe alarm calls associated with a particular predator species andwere used to associate predator species information with individual alarmcalls. This methodology allowed individual alarm calls to be classifiedby predator [...]

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  • Upper Colorado River Basin

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From Source - Mendeley RIS Export <br> On - Wed Sep 19 08:08:31 MDT 2012

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Title Citation Using self-organizing maps to recognize acoustic units associated with information content in animal vocalizations

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