Self-organizing acoustic categories in sensor arrays

  • Authors:
  • Ivan Escobar;Erika Vilches;Edgar E. Vallejo;Martin L. Cody;Charles E. Taylor

  • Affiliations:
  • ITESM, CEM, Computer Science Dept., Edo. de Mexico, Mexico;ITESM, CEM, Computer Science Dept., Edo. de Mexico, Mexico;ITESM, CEM, Computer Science Dept., Edo. de Mexico, Mexico;UCLA, Dept. of Ecology and Evolutionary Biology, Los Angeles, CA;UCLA, Dept. of Ecology and Evolutionary Biology, Los Angeles, CA

  • Venue:
  • ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
  • Year:
  • 2007

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Abstract

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 distributed categorization could be used for the emergence of symbolic communication in these platforms.