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Robust parametric modeling of durations in hidden Markov models

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1 Author(s)
D. Burshtein ; Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel

A major weakness of conventional hidden Markov models is that they implicitly model state durations by a geometric distribution, which is usually inappropriate. This paper presents a modified Viterbi algorithm that, by incorporating proper state and word duration modeling, significantly reduces the string error rate of the conventional Viterbi algorithm for a speaker-independent, connected-digit string task. The algorithm has essentially the same computational requirements of the conventional Viterbi algorithm

Published in:

IEEE Transactions on Speech and Audio Processing  (Volume:4 ,  Issue: 3 )