• 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