C. Couvreur et Y. Bresler, AUTOMATIC CLASSIFICATION OF ENVIRONMENTAL NOISE SOURCES BY STATISTICAL-METHODS, Noise control engineering journal, 46(4), 1998, pp. 167-182
This paper shows how the tools of statistical pattern recognition can
be used to create an ''intelligent'' noise monitoring system able to d
istinguish between the acoustic signals of different types of environm
ental noise sources, e.g., airplanes, cars, or trucks. The basics of s
tatistical pattern recognition theory are reviewed in a tutorial fashi
on and illustrated on simple acoustical noise recognition examples. Gu
idelines for the design, training, and utilization of a pattern classi
fication system are provided, The pitfalls of an intuitive, heuristic
approach to these tasks are highlighted. Experimental results obtained
by an automatic noise recognition system based on a statistical patte
rn recognition framework are presented. Finally, possible improvements
of this system which are currently being investigated further are dis
cussed. (C) 1998 Institute of Noise Control Engineering.