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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Unsupervised Acoustic Classification of Bird Species Using Hierarchical Self-organizing Maps
verfasst von : Edgar E. Vallejo, Martin L. Cody, Charles E. Taylor
Erschienen in: Progress in Artificial Life
Verlag: Springer Berlin Heidelberg
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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.