Unsupervised acoustic classification of bird species using hierarchical self-organizing maps

Authors:
Edgar E. Vallejo;Martin L. Cody;Charles E. Taylor
Affiliations:
ITESM-CEM, Computer Science Dept., México, México;UCLA, Dept. of Ecology and Evolutionary Biology, Los Angeles, CA;UCLA, Dept. of Ecology and Evolutionary Biology, Los Angeles, CA
Venue:
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Year:
2007

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Abstract

In this paper, we propose the application of hierarchical self-organizing maps to the unsupervised acoustic classification of bird species. We describe a series of experiments on the automated categorization of tropical antbirds from their songs. Experimental results showed that accurate classification can be achieved using the proposed model. In addition, we discuss how categorization capabilities could be deployed in sensor arrays.