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facilitating the ornithologist's work and improving the quality of their research. This allows the experts to focus just on high level bird behavior interpretation, working either directly from their labs or even through the Internet. For this work, the goal of sensor networks [4, 8, 9] is to introduce a certain number of small sensors or motes in a natural(More)
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them is applied on an individual manner, contrast their results and devise a model to combine them for targeted classifications. Previous work has shown that large collec- tions of(More)
In this paper, we explore the emergence of acoustic categories in sensor arrays. We describe a series experiments on the automatic categorization of species and individual birds using self-organizing maps. Experimental results showed that meaningful acoustic categories can arise as self-organizing processes in sensor arrays. In addition, we discuss how(More)
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