Publication | Closed Access
On the complexity of explicit duration HMM's
63
Citations
5
References
1995
Year
Standard RecursionMachine LearningEngineeringHidden Markov ModelStochastic ProcessesAlgorithmic LearningExplicit Duration HmmNew RecursionComputational ComplexitySpeech ProcessingStochastic AnalysisProbability TheoryComputer ScienceTime ComplexityKolmogorov ComplexityContinuous Output DistributionsComplexityStochastic Modeling
Introduces a new recursion that reduces the complexity of training a semi-Markov model with continuous output distributions. It is shown that the cost of training is proportional to M/sup 2/+D, compared to M/sup 2/D with the standard recursion, where M is the observation vector length and D is the maximum allowed duration.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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