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Pattern Recognition as a Problem in Decision Theory and an Application to Speech Recognition

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2 Author(s)
Sackschewsky, V.E. ; Aerospace Medical Research Laboratories, Wright-Patterson Air Force Base, Ohio. Presently at Rocky Flats Division, Dow Chemical Company, Boulder, Colo. ; Oestreicher, H.L.

After a general discussion of pattern recognition as a problem in statistical decision theory, an application of these concepts is made to the recognition of speech sounds by a method which uses the same principles for preprocessing of sound as does the human auditory system. The decision rule found for minimizing the average risk for a specified cost matrix is determined and it is shown that under appropriate conditions a pattern recognition technique which maximizes the cross correlation coefflicient of the signal with a set of functions representing the patterns is equivalent to this optimum decision rule.

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Military Electronics, IEEE Transactions on  (Volume:MIL-7 ,  Issue: 2 & 3 )