Abstract
We introduce a new recursion that reduces the complexity of training
a semi-Markov model with continuous output distributions. We show
that the cost of training is proportional to M2 + D, compared to
M2 D with the standard recursion, where M is the observation vector
length and D is the maximum allowed duration.
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