DocumentCode
2899113
Title
Issues related to the estimation of time variant hidden Markov models [speech recognition]
Author
Lerner, Solomon ; Mazor, Baruch
Author_Institution
GTE Lab. Inc., Waltham, MA, USA
fYear
1990
fDate
3-6 Apr 1990
Firstpage
553
Abstract
Algorithms for use in the estimation of left-right hidden Markov models with skip transitions are described. The results of several large-scale experiments conducted to illustrate the effects of some problems related to the use of the algorithms are presented. Solutions are presented to resolve the problems. The results show that the improvements result in more accurate modeling of training data
Keywords
Markov processes; estimation theory; learning systems; speech recognition; model estimation; skip transitions; speech recognition; state transition; time variant hidden Markov models; training data; Algorithm design and analysis; Convergence; Estimation error; Hidden Markov models; Laboratories; Large-scale systems; Parameter estimation; Speech recognition; State estimation; Topology; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location
Albuquerque, NM
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1990.115772
Filename
115772
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