Graphical models for discrete hidden Markov models in speech recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2009, Pages 1411-1414

  Miguel, Antonio ^a   Ortega, Alfonso ^a   Buera, Luis ^a   Lleida, Eduardo ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

Bayesian networks; Expectation maximization; Graphical models; Maximum likelihood

Indexed keywords

BASELINE SYSTEMS; COVARIANCE MATRICES; DIRECTED ACYCLIC GRAPHS; DISCRETE HIDDEN MARKOV MODEL; DISCRETE RANDOM VARIABLES; EMISSION PROBABILITIES; EXPECTATION MAXIMIZATION; GRAPHICAL MODEL; GRAPHICAL MODELS; JOINT INFORMATION; MIXTURES OF GAUSSIANS; SPEECH FEATURES;

BAYESIAN NETWORKS; COVARIANCE MATRIX; DISTRIBUTED PARAMETER NETWORKS; FEATURE EXTRACTION; GRAPHIC METHODS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; INFERENCE ENGINES; INTELLIGENT NETWORKS; MAXIMUM LIKELIHOOD; MAXIMUM PRINCIPLE; MIXTURES; RANDOM PROCESSES; RANDOM VARIABLES; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 70450175227     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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