Myo-electric signals to augment speech recognition
- 210 Downloads
It is proposed that myo-electric signals can be used to augment conventional speech-recognition systems to improve their performance under acoustically noisy conditions (e.g. in an aircraft cockpit). A preliminary study is performed to ascertain the presence of speech information within myo-electric signals from facial muscles. Five surface myo-electric signals are recorded during speech, using Ag−AgCl button electrodes embedded in a pilot oxygen mask. An acoustic channel is also recorded to enable segmentation of the recorded myo-electric signal. These segments are processed off-line, using a wavelet transform feature set, and classified with linear discriminant analysis. Two experiments are performed, using a ten-word vocabulary consisting of the numbers ‘zero’ to ‘nine’. Five subjects are tested in the first experiment, where the vocabulary is not randomised. Subjects repeat each word continuously for 1 min; classification errors range from 0.0% to 6.1%. Two of the subjects perform the second experiment, saying words from the vocabulary randomly; classification errors are 2.7% and 10.4%. The results demonstrate that there is excellent potential for using surface myo-electric signals to enhance the performance of a conventional speech-recognition system.
KeywordsSpeech recognition Myo-electric signal Wavelet transform Pattern recognition Biological signal processing
Unable to display preview. Download preview PDF.
- Day, S. H. (1990): ‘Recognition of speech utilizing the myoelectric signals of neck muscles — An advanced study in the time domain’. MSc thesis, Auburn UniversityGoogle Scholar
- Hudgins, B. (1991) ‘A new approach to multifunction myoelectric control’. PhD thesis, University of New Brunswick, Fredericton, NB, CanadaGoogle Scholar
- Long, D. W. (1990): ‘Speech recognition from myoelectric signals — Frequency spectrum shaping effects on speech recognition’. MSc thesis, Auburn UniversityGoogle Scholar
- Lovely, D. F. (1993): ‘Low noise electrode amplifier for use in evoked potential studies’. 19th Canadian Medical & Biological Engineering Society (CMBES) Conference, Ottawa, Ont., Canada, pp. 236–237Google Scholar
- Research and Technology Organization (North Atlantic Treaty Organization) (1998): ‘Alternative control technologies’. RTO Technical Report 7Google Scholar
- Sugie, N., andTsunoda, K. (1985): ‘A speech prosthesis employing a speech synthesizer — vowel discrimination from perioral muscle activities and vowel production’,IEEE Trans. Biomed. Eng.,32, pp. 485–490Google Scholar
- White, R. G., andBeckett, P. (1983): ‘Increased aircraft survivability using direct voice input’. Proc. AGARD Flight Mechanics Panel Symposium: Flight mechanics and system design lessons from operational experience, AGARD-CP-347, AthensGoogle Scholar