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The CLEAR 2006 CMU Acoustic Environment Classification System

  • Robert G. Malkin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4122)

Abstract

We describe the CLEAR 2006 acoustic environment classification evaluation and the CMU system used in the evaluation. Environment classification is a critical technology for the CHIL Connector service [1] in that Connector relies on maintaining awareness of user state to make intelligent decisions about the optimal times, places, and methods to deal with requests for human-to-human communication. Environment is an important aspect of user state with respect to this problem; humans may be more or less able to deal with voice or text communications depending on whether they are, for instance, in an office, a car, a cafe, or a cinema. We unfortunately cannot rely on the availability of the full CHIL sensor suite when users are not in the CHIL room; hence, we are motivated to explore the use of the only sensor which is reliably available on every mobile communication device: the microphone.

Keywords

Independent Component Analysis Independent Component Analysis Optimal Code Acoustic Environment Babble Noise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Robert G. Malkin
    • 1
  1. 1.interACT, Carnegie Mellon University, Pittsburgh PA 15213USA

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