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A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model

โœ Scribed by Shamsul Huda; John Yearwood; Roberto Togneri

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
379 KB
Volume
30
Category
Article
ISSN
0167-8655

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For hidden Markov model (HMM) based speech recognition where the basic speech unit is smaller than the recognizer's output unit, the standard full Baum-Welch re-estimation procedure for the HMM training is very costly in computation. This is hecause it requires evaluation of the HMM output densities