EMG-based speech recognition using hidden Markov models with global control variables

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 3, 2008, Pages 930-940

  Lee, Ki Seung ^a  

^a Konkuk University   (South Korea)

Author keywords

Automatic speech recognition; Hidden Markov model (HMM); Surface EMG signals

Indexed keywords

ELECTROMYOGRAPHY; HIDDEN MARKOV MODELS; MATHEMATICAL MODELS; SIGNAL ANALYSIS;

AUTOMATIC SPEECH RECOGNITION; HIDDEN MARKOV MODEL (HMM); SURFACE EMG SIGNALS;

SPEECH RECOGNITION;

ARTICLE; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; FACE MUSCLE; HIDDEN MARKOV MODEL; HUMAN; HUMAN EXPERIMENT; MALE; MAXIMUM LIKELIHOOD METHOD; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SPEECH DISCRIMINATION; WORD RECOGNITION;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELECTROMYOGRAPHY; FACIAL MUSCLES; HUMANS; MALE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPEECH; SPEECH PRODUCTION MEASUREMENT; SPEECH RECOGNITION SOFTWARE;

EID: 39749106069     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.915658     Document Type: Article

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