A Decision Theoretic Formulation of a Training Problem in Speech Recognition and a Comparison of Training by Unconditional Versus Conditional Maximum Likelihood

Abstract

The choice of method for training a speech recognizer is posed as an optimization problem. The currently used method of maximum likelihood, while heuristic, is shown to be superior under certain assumptions to another heuristic: the method of conditional maximum likelihood. Copyright © 1983 by The Institute of Electrical and Electronics Engineers, Inc.