Robust parametric modeling of durations in hidden markov models

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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.

Original languageEnglish
Pages (from-to)240-242
Number of pages3
JournalIEEE Transactions on Speech and Audio Processing
Issue number3
StatePublished - 1996


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