Syllable-based speech recognition using EMG

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 4699-4702

  Lopez Larraz, Eduardo ^a   Mozos, Oscar M ^a   Antelis, Javier M ^a   Minguez, Javier ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DISTINCTIVE FEATURES; ELECTROMYOGRAPHIC SIGNAL; EMG SIGNAL; FACIAL MUSCLES; MEAN CLASSIFICATION; SPEECH INTERFACE; TIME FEATURES;

FEATURE EXTRACTION;

SPEECH RECOGNITION;

ARTICLE; AUTOMATED PATTERN RECOGNITION; AUTOMATIC SPEECH RECOGNITION; ELECTROMYOGRAPHY; FACE MUSCLE; METHODOLOGY; NATURAL LANGUAGE PROCESSING; PHYSIOLOGY; SEMANTICS; SPEECH; SPEECH ANALYSIS;

ELECTROMYOGRAPHY; FACIAL MUSCLES; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; SEMANTICS; SPEECH; SPEECH PRODUCTION MEASUREMENT; SPEECH RECOGNITION SOFTWARE;

EID: 78650802326     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626426     Document Type: Conference Paper

References (17)

1. B. J. Betts, K. Binsted, and C. Jorgensen, "Small-vocabulary speech recognition using surface electromyography," Interacting with Computers, vol. 18, pp. 1242-1259, 2006.
2. A. D. C. Chan, K. Englehart, B. Hudgins, and D. F. Lovely, "Hidden Markov Model Classification of Myoelectric Signals in Speech," in Proceedings of the Annual Conference of the IEEE/EMBS, Istanbul, Turkey, October 2001.
3. C.-N. Huang, C.-H. Chen, and H.-Y. Chung, "The Review of Applications and Measurements in Facial Electromyography," Journal of Medical and Biological Engineering, vol. 25, no. 1, pp. 15-20, 2004.
4. S. P. Arjunan, H. Weghorn, D. K. Kumar, and W. C. Yau, "Vowel recognition of English and German language using Facial movement (SEMG) for Speech control based HCI," in Proceedings of the HCSNet Workshop on Use of Vision in Human-Computer Interaction, Canberra, Australia, 2006.
5. S. P. Arjunan, D. K. Kumar, W. C. Yau, and H. Weghorn, "Unspoken Vowel Recognition Using Facial Electromyogram," in Proceedings of the IEEE EMBS Annual International Conference, New York City, USA, August 2006.
6. J. A. Mendes, R. R. Robson, S. Labidi, and A. K. Barros, "Subvocal Speech Recognition Based on EMG signal Using Independent Component Analysis and Neural Network MLP," in Proceedings of the Congress on Image and Signal Processing, Hainan, China, 2008.
7. Q. Zhou, N. Jiang, K. Englehart, and B. Hudgins, "Improved Phoneme-Based Myoelectric Speech Recognition," IEEE Transactions on Biomedical Engineering, vol. 56, no. 8, pp. 2016-2023, 2009.
8. H. Manabe and Z. Zhang, "Multi-stream HMM for EMG-Based Speech Recognition," in Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, USA, September 2004.
9. C. Jorgensen, D. D. Lee, and S. Agabon, "Sub Auditory Speech Recognition Based on EMG/EPG Signals," Proceedings of the International Joint Conference on Neural Networks, January 2003.
10. A. R. Mestre, La transcripción fonética automática del diccionario electrónico de formas simples flexivas del español: estudio fonológico en el léxico, 4th ed. Laboratorio de Lingüística Informática de la Universidad Autónoma de Barcelona, 1998, (in Spanish).
11. B. Tuller, K. S. Harris, and B. Gross, "Electromyographic study of jaw muscles during speech," Journal of Phonetics, vol. 9, pp. 175- 188, 1981.
12. A. J. Fridlund and J. T. Cacioppo, "Guidelines for Human Electromyographic Research," Psychophysiology, vol. 23, no. 5, pp. 567-589, 1986.
13. G. Schalk, D. McFarland, T. Hinterberger, N. Birbaumer, and J. Wolpaw, "BCI2000: a general-purpose brain-computer interface (BCI) system," Biomedical Engineering, IEEE Transactions on, vol. 51, no. 6, pp. 1034-1043, June 2004.
14. Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting," in Proceedings of the European Conference on Computational Learning Theory, 1995, pp. 23-37.
15. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. Morgan Kaufmann, 2005.
16. R. Quinlan, C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
17. Weka, "Weka 3: Data Mining Software in Java," http://www.cs.waikato.ac.nz/ml/weka/.