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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Malkin, R. G. (2007). The CLEAR 2006 CMU acoustic environment classification system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4122 LNCS, pp. 323–330). Springer Verlag. https://doi.org/10.1007/978-3-540-69568-4_30
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