Variational Bayesian approach for automatic generation of HMM topologies

2003 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003

Volumn , Issue , 2003, Pages 77-82

  Jitsuhiro, Takatoshi ^a   Nakamura, Satoshi ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; FREE ENERGY; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD; TOPOLOGY;

AUTOMATIC GENERATION; INFORMATION CRITERION; MAXIMUM LIKELIHOOD CRITERION; OVER FITTING PROBLEM; POSTERIOR PROBABILITY; SUCCESSIVE STATE SPLITTING ALGORITHMS; VARIATIONAL BAYESIAN; VARIATIONAL BAYESIAN APPROACHES;

SPEECH RECOGNITION;

EID: 57749169607     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2003.1318407     Document Type: Conference Paper

References (11)

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