EMG based voice recognition

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

Volumn , Issue , 2004, Pages 593-597

  Kumar, Sanjay ^a   Kumar, Dinesh Kant ^a   Alemu, Melaku ^a   Burry, Mark ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EMG; PROSTHETIC DEVICES; RECOGNITION VARIABLES; ROOT MEAN SQUARE (RMS);

DIAGNOSIS; HUMAN COMPUTER INTERACTION; NEURAL NETWORKS;

SPEECH RECOGNITION;

EID: 28844496328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. A.D.C. Chan, K.E., B. Hudgins, D.F. Lovely, Myoelectric signals to augment speech recognition. Medical & Biological Engineering & Computing, 2001.39: p. 500-504.
2. Ephraim, Y., A Bayesian approach for speech enhancement using hidden markov models. IEEE Transaction on Signal Processing, 1992. 40 No 4: p. 725-735.
3. Research and Technology Organisation (North Atlantic Treaty Organisation), A.c.t., 'RTO Technical Report 7, 1998.
4. L Rabiner, B.H.J., Fundamentals of speech recognition. Fundamentals of speech recognition Englewood Cliffs, NJ, 1993.
5. Leonard J. Trejo, K.R.W., Charles C. Jorgensen, and S.T.C. Roman Rosipal, Bryan Matthews, Andrew D. Hibbs, Multimodal Neuroelectric Interface Development. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002(Special Issue on BCI).
6. S. Morse, Y.N.G., M. Wrightpp, Speech recognition using myoelectric signals with neural network. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1991. 13 No 4: p. 1977-178.
7. N. Sugie, K.T., A speech prosthesis employing a speech synthesizer. IEEE Transaction on Biomedical Engineering, 1985. BME-32 No.7: p. 485-490.
8. Hiroyuki Manabe, A.H., Toshiaki Sugimura, Unvoiced Speech Recognition Using EMG-Mime Speech Recognition. CHI 2003 Ft.Lauderdale, Florida, USA, 2003.
9. A J Fridlund, J.T.C., Guidelines for human electrographic research. Psycholphysiology, 1986. 23: p. 567-589.
10. A. Freeman and M. Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques, Addison-Wesley, Mass., 1991.
11. Haung, K.-Y., "Neural networks for robust recognition of seismic patterns,". IEEE Transactions on Geoscience and Remote sensing 2001
12. Hudgins B, Parker PA, Scott RN, A new strategy for multifunction myoelectric control. IEEE Trans Biomedical Engineering;40(1):82-94, 1993.
13. Paul A Lynn, Signal Processing of Speech Macmillan New Electronics S Publisher: Palgrave Macmillan 1993, ISBN: 0333519213
14. Nigma M, Kumar D,Nemuel Pah, Proc of the Seventh Australian and New Zealand Intelligent Information System Conference Perth, West Australia,2001
15. Graupe D, Salahi J, Kohn K H Multifunction prosthesis and orthosis control via microcomputer identification of temporal patter differences in single-site myoelectric signals. J Biomed Eng 1982; 4:17-22.