Parameter re-estimation in semicontinuous hidden Markov modelling of speech with feedback to vector quantisation codebook

27 October 1988

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

Vol. 24 (22) , 1375-1377
https://doi.org/10.1049/el:19880941

Abstract

The parameters of the semicontinuous hidden Markov model (SCHMM) can be re-estimated by allowing the codebook to be updated, thus achieving an optimised codebook/model combination. With the optimised codebook, the SCHMM can offer improved recognition accuracy in comparison to both the continuous and the discrete hidden Markov model.

Keywords

RE-ESTIMATED
FEEDBACK
SPEECH
VECTOR QUANTISATION CODEBOOK
SEMICONTINUOUS HIDDEN MARKOV MODELLING
RECOGNITION ACCURACY
PARAMETERS

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