DocumentCode
141108
Title
Surface electromyographic control of speech synthesis
Author
Cler, Meredith J. ; Nieto-Castanon, Alfonso ; Guenther, Frank H. ; Stepp, Cara E.
Author_Institution
Grad. Program for Neurosci.-Comput. Neurosci., Boston Univ., Boston, MA, USA
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
5848
Lastpage
5851
Abstract
Individuals with very high spinal cord injuries (e.g. C1-C3) may be ventilator-dependent and therefore unable to support speech breathing. However, their facial musculature is intact, given that these muscles are innervated by cranial nerves. We developed a system using surface electromyography (sEMG) recorded from facial muscles to control a phonemic interface and voice synthesizer and tested the system in healthy individuals. Users were able to use five facial gestures to control an onscreen cursor and the phonemic interface. Users had mean information transfer rates (ITRs) of 59.5 bits/min when calculating ITRs using the number of phonemes selected. To compare with orthographic systems, ITRs were also calculated using the equivalent number of letters required to spell the selected word. With this calculation, users had a mean ITR of 70.1. Results are promising for further development and testing in individuals with high spinal cord injuries.
Keywords
electromyography; medical control systems; neurophysiology; pneumodynamics; speech; speech synthesis; user interfaces; cranial nerves; facial gestures; facial muscles; facial musculature; orthographic systems; phonemic interface; speech breathing; spinal cord injuries; surface electromyographic control; ventilator-dependent; voice synthesizer; Educational institutions; Electrodes; Mice; Muscles; Speech; Spinal cord injury; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6944958
Filename
6944958
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