Automatic Speech Recognition Based on Electromyographic Biosignals
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-92219-3_23
Reference14 articles.
1. Fromkin, V., Ladefoged, P.: Electromyography in speech research. Phonetica 15 (1966)
2. Chan, A., Englehart, K., Hudgins, B., Lovely, D.: Hidden Markov model classification of myoelectric signals in speech. IEEE Engineering in Medicine and Biology Magazine 21(4), 143–146 (2002)
3. Jorgensen, C., Lee, D., Agabon, S.: Sub auditory speech recognition based on EMG signals. In: Proc. IJCNN, Portland, Oregon (July 2003)
4. Jorgensen, C., Binsted, K.: Web browser control using EMG based sub vocal speech recognition. In: Proc. HICSS, Hawaii (January 2005)
5. Betts, B., Jorgensen, C.: Small vocabulary communication and control using surface electromyography in an acoustically noisy environment. In: Proc. HICSS, Hawaii (January 2006)
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