Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition

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

Volumn , Issue , 2008, Pages 936-939

  Hashimoto, Kei ^a   Zen, Heiga ^a   Nankaku, Yoshihiko ^a   Lee, Akinobu ^a   Tokuda, Keiichi ^a  

^a NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Context clustering; Continuous phoneme recognitio; Cross validation; Variational Bayes

Indexed keywords

APPROPRIATE MODELS; BAYESIAN; BAYESIAN APPROACHES; BAYESIAN METHODS; CONTEXT CLUSTERING; CONTINUOUS PHONEME RECOGNITIO; CONVENTIONAL METHODS; CROSS VALIDATION; MODEL PARAMETERS; MODEL SELECTION; PHONEME RECOGNITION; POSTERIOR DISTRIBUTIONS; PREDICTIVE DISTRIBUTIONS; PRIOR DISTRIBUTION; PRIOR INFORMATION; STATISTICAL TECHNIQUES; TRAINING DATA; TUNING PARAMETER; VARIATIONAL BAYES; VARIATIONAL BAYESIAN;

BAYESIAN NETWORKS; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 84867213785     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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