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Overall risk criterion estimation of hidden Markov model parameters

✍ Scribed by Janez Kaiser; Bogomir Horvat; Zdravko Kačič

Book ID
108410634
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
270 KB
Volume
38
Category
Article
ISSN
0167-6393

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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