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A method for estimating the parameters of hidden Markov models of speech is described. Parameter values are chosen to maximize the mutual information between an acoustic observation sequence and the corresponding word sequence. Recognition results are presented comparing this method with maximum likelihood estimation.
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86. (Volume:11 )
Date of Conference: Apr 1986