Word boundary modelling and full covariance gaussians for Arabic Speech-to-Text systems

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

Volumn , Issue , 2011, Pages 777-780

  Dieh, F ^a   Gales, M J F ^a   Liu, X ^a   Tomalin, M ^a   Woodland, P C ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Arabic; Context; Covariances; STT

Indexed keywords

ARABIC; CAMBRIDGE; COMPLETE SYSTEM; CONTEXT; COVARIANCES; GAUSSIANS; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; MINIMUM PHONE ERROR; PHONETIC INFORMATION; ROBUST TECHNIQUE; SPEECH-TO-TEXT SYSTEM; STT; TRAINING FRAMEWORK; WORD ERROR RATE;

CONTINUOUS SPEECH RECOGNITION;

LINGUISTICS;

EID: 84865725677     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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