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Hidden Markov models with duration-dependent state transition probabilities (speech recognition)

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1 Author(s)
Vaseghi, S.V. ; East Anglia Univ., Norwich, UK

A new method is proposed for incorporation of duration knowledge in the form of duration-dependent state transition probabilities in a left-right hidden Markov model. Duration-dependent transition probabilities are derived from integration of histograms of the state durations. The model re-estimation process becomes one of obtaining a new segmentation from which a new set of state and observation probabilities are derived.

Published in:

Electronics Letters  (Volume:27 ,  Issue: 8 )

Date of Publication:

11 April 1991

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