Advances in missing feature techniques for robust large-vocabulary continuous speech recognition

IEEE Transactions on Audio, Speech and Language Processing

Volumn 19, Issue 1, 2011, Pages 123-137

  Van Segbroeck, Maarten ^a   Van Hamme, Hugo ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Automatic speech recognition (ASR); channel compensation; missing data techniques; noise robustness

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; BINARY MASKS; CEPSTRAL DOMAIN; CHANNEL COMPENSATION; FEATURE DOMAIN; GAUSSIANS; HARD DECISIONS; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; LINEAR TRANSFORM; LOG-SPECTRAL DOMAIN; MISSING DATA TECHNIQUES; MISSING FEATURE THEORIES; NOISE ROBUSTNESS; NOISY DATA; RECOGNITION PERFORMANCE; RECOGNITION PROCESS; SOFT DECISION; STATIC AND DYNAMIC; STRUCTURED COVARIANCE;

ACOUSTIC NOISE; CONTINUOUS SPEECH RECOGNITION; CONVOLUTION; COVARIANCE MATRIX; MAXIMUM LIKELIHOOD ESTIMATION; STRAIN MEASUREMENT;

FEATURE EXTRACTION;

EID: 77957739976     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2045235     Document Type: Article

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