An Introduction to Decision Rules For Automatic Speech Recognition
نویسنده
چکیده
Modern automatic speech recognition ASR technology is based on a communication theoretical view of the generation acquisition and transmission and perception of speech The goal of speech recognition is then de ned as recovering the intended sequence of linguistic units from the observed acoustic signal Under a statistical decision theoretic formulation ASR is formulated as a statistical decision problem In this report we attempt to care fully and methodically review the theoretical aspects of this formulation and show how new decision rules can be constructed for robust ASR Index Terms Decision rules Bayes decision rule plug in maximum a posteriori MAP decision rule minimax decision rule Bayesian predictive classi cation BPC robust automatic speech recognition
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