A Fast Voice Command Recognition Algorithm Based on the Hidden Markov Model Stationary Distribution

Vestnik MEI ◽  
2018 ◽  
Vol 5 (5) ◽  
pp. 65-72
Author(s):  
Pavel A. Paramonov ◽  
◽  
Ivan V. Ognev ◽  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Stationary Distribution ◽  
Hidden Markov ◽  
Recognition Algorithm ◽  
Voice Command

A FACE RECOGNITION SCHEME BASED ON EMBEDDED HIDDEN MARKOV MODEL AND SELECTIVE ENSEMBLE STRATEGY

2009 ◽  
Vol 09 (03) ◽  
pp. 355-367
Author(s):  
XINBO GAO ◽  
JINXIU LI ◽  
BING XIAO
Keyword(s):  
Face Recognition ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Recognition Performance ◽  
Recognition Algorithm ◽  
Model Parameters ◽  
Ensemble Strategy ◽  
Selective Ensemble ◽  
Selection Of

As an effective method, the embedded hidden Markov model (E-HMM) has been widely used in pattern recognition. On applying the E-HMM to face recognition, the performance heavily depends on the selection of model parameters. Aiming at the problem of model selection, a selective ensemble of multi E-HMMs based face recognition algorithm is proposed. Experimental results illustrate that compared with the traditional E-HMM based face recognition algorithm the proposed method cannot only obtain better and more stable recognition performance, but also achieve higher generalization ability.

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