Training of Homoscedastic Hidden Markov Models for Automatic Speech Recognition.
Patent Application, Filed 24 Feb 93,
DEPARTMENT OF THE NAVY WASHINGTON DC
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A method for training a speech recognizer in a speech recognition system is described. The method of the present invention comprises the steps of providing a data base containing acoustic speech units, generating a homoscedastic hidden Markov model from the acoustic speech units in the data base, and loading the homoscedastic hidden Markov model into the speech recognizer. The hidden Markov model loaded into the speech recognizer has a single covariance matrix which represents the tied covariance matrix of every Gaussian PDF for every state of every hidden Markov model structure in the homoscedastic hidden Markov Model
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