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Sub vocal Speech Recognition System based on EMG Signals

IJCA Proceedings on International Conference on Computer Technology
© 2015 by IJCA Journal
ICCT 2015 - Number 7
Year of Publication: 2015
Yukti Bandi
Riddhi Sangani
Aayush Shah
Amit Pandey
Arun Varia

Yukti Bandi, Riddhi Sangani, Aayush Shah, Amit Pandey and Arun Varia. Article: Sub vocal Speech Recognition System based on EMG Signals. IJCA Proceedings on International Conference on Computer Technology ICCT 2015(7):31-35, September 2015. Full text available. BibTeX

	author = {Yukti Bandi and Riddhi Sangani and Aayush Shah and Amit Pandey and Arun Varia},
	title = {Article: Sub vocal Speech Recognition System based on EMG Signals},
	journal = {IJCA Proceedings on International Conference on Computer Technology},
	year = {2015},
	volume = {ICCT 2015},
	number = {7},
	pages = {31-35},
	month = {September},
	note = {Full text available}


This paper presents results of electromyography (EMG) speech recognition which captures the electric potentials that are generated by the human articulatory muscles. EMG speech recognition holds promise for mitigating the effects of high acoustic noise on speech intelligibility in communication systems. Few words have been collected from EMG from a male subject, speaking normally and sub vocally. The collected signals are then required to be filtered and transformed into features using Wavelet Packet and statistical windowing techniques. Finally, the concept of neural network with back propagation method has been used for classification of data. Using windowed signals and the trained neural network an arduino operated bot was controlled as an application to demonstrate the future scope of the paper. The success rate was 73%.


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