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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115772
