Performance comparison between semicontinuous and discrete hidden Markov models of speech

4 February 1988

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 24 (3) , 149-150
https://doi.org/10.1049/el:19880099

Abstract

The semicontinuous hidden Markov model (SCHMM) of speech has been shown to offer improved performance in comparison to conventional discrete HMM. Experimental results with different vector quantisation levels, different probability density functions, and different numbers of tokens in the training set for the SCHMM are reported here to compare with conventional discrete HMM.

Keywords

DISCRETE
HIDDEN MARKOV MODELS
TRAINING SET
SCHMM
PERFORMANCE
PROBABILITY DENSITY FUNCTIONS
HMM
SEMICONTINUOUS
SPEECH
TOKENS
VECTOR QUANTISATION LEVELS

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