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Authors: Sridhar P. Arjunan 1 ; Dinesh K. Kumar 1 ; Wai C. Yau 1 and Hans Weghorn 2

Affiliations: 1 School of Electrical and Computer Engineering, RMIT Univesity, Australia ; 2 Information technology, BA-University of Cooperative Education, Germany

Abstract: The aim of this project is to identify speech using the facial muscle activity and without audio signals. The paper presents an effective technique that measures the relative muscle activity of the articulatory muscles. The paper has also tested the performance of this system for inter subject variation. Three English vowels were used as recognition variables. This paper reports using moving root mean square (RMS) of surface electromyogram (SEMG) of four facial muscles to segment the signal and identify the start and end of the utterance. The RMS of the signal between the start and end markers was integrated and normalised. This represented the relative muscle activity, and the relative muscle activities of the four muscles were classified using back propagation neural network to identify the speech. The results show that this technique gives high recognition rate when used for each of the subjects. The results also indicate that the system accuracy drops when the network trained wit h one subject is tested with another subject. This suggests that there is a large inter-subject variation in the speaking style for similar sounds. The experiments also show that the system is easy to train for a new user. It is suggested that such a system is suitable for simple commands for human computer interface when it is trained for the user. (More)

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Paper citation in several formats:
P. Arjunan, S.; K. Kumar, D.; C. Yau, W. and Weghorn, H. (2006). Facial SEMG for Speech Recognition Inter-Subject Variation. In Proceedings of the 2nd International Workshop on Biosignal Processing and Classification (ICINCO 2006) - BPC; ISBN 978-972-8865-67-2, SciTePress, pages 3-12. DOI: 10.5220/0001208600030012

@conference{bpc06,
author={Sridhar {P. Arjunan}. and Dinesh {K. Kumar}. and Wai {C. Yau}. and Hans Weghorn.},
title={Facial SEMG for Speech Recognition Inter-Subject Variation},
booktitle={Proceedings of the 2nd International Workshop on Biosignal Processing and Classification (ICINCO 2006) - BPC},
year={2006},
pages={3-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001208600030012},
isbn={978-972-8865-67-2},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Biosignal Processing and Classification (ICINCO 2006) - BPC
TI - Facial SEMG for Speech Recognition Inter-Subject Variation
SN - 978-972-8865-67-2
AU - P. Arjunan, S.
AU - K. Kumar, D.
AU - C. Yau, W.
AU - Weghorn, H.
PY - 2006
SP - 3
EP - 12
DO - 10.5220/0001208600030012
PB - SciTePress

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