Title: Robust parametric modeling of durations in hidden Markov models
Abstract: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 ...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.Read More
Publication Year: 1996
Publication Date: 1996-05-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 42
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