A multi-expert speech recognition system using acoustic and myoelectric signals

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 1, Issue , 2002, Pages 72-73

  Chan, A D C ^a,b   Englehart, K ^a,b   Hudgins, B ^a,b   Lovely, D F ^b  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Evidence theory; Hidden Markov models; Multi expert system; Myoelectric signal; Speech recognition

Indexed keywords

ACOUSTIC NOISE; ACOUSTIC SIGNAL PROCESSING; MARKOV PROCESSES; MATHEMATICAL MODELS; SPEECH RECOGNITION;

EVIDENCE THEORY; HIDDEN MARKOV MODEL; MULTI-EXPERT SPEECH RECOGNITION SYSTEM; MYOELECTRIC SIGNAL;

PATTERN RECOGNITION SYSTEMS;

EID: 0036912767     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Research and Technology Organization (North Atlantic Treaty Organization), "Alternative control technologies," RTO Technical Report 7, 1998.
2. A. D. C. Chan, B. Hudgins, D. F. Lovely, "Myoelectric signals in speech recognition," 26th Ann. Conf. CMBES, Halifax, Canada, 2000.
3. A. D. C. Chan, K. Englehart, B. Hudgins, D. F. Lovely, "Hidden Markov model classification of myoelectric signals in speech," 23rd Int. Conf. IEEE-EMBS, Istanbul, Turkey, 4.2.6-4, 2001.
4. A. D. C. Chan, K. Englehart, B. Hudgins, D. F. Lovely, "Myoelectric signals to augment speech recognition," Med. Biol. Eng. & Comp., 39(4):500-504, 2001.
5. G. Shafer, A mathematical theory of evidence, Princeton University Press, Princeton, New Jersey, 1976.