• DocumentCode
    2945290
  • Title

    An Articulatory Speech-Prosthesis System

  • Author

    Wee, Keng Hoong ; Turicchia, Lorenzo ; Sarpeshkar, Rahul

  • Author_Institution
    Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    7-9 June 2010
  • Firstpage
    133
  • Lastpage
    138
  • Abstract
    We investigate speech-coding strategies for brain-machine-interface (BMI) based speech prostheses. We present an articulatory speech-synthesis system using an experimental integrated-circuit vocal tract that models the human vocal tract. Our articulatory silicon vocal tract makes feasible the transmission of low bit-rate speech-coding parameters over a bandwidth-constrained body sensor network (BSN). To the best of our knowledge, this is the first articulatory speech-prosthesis system reported to date. We also present a speech-prosthesis simulator (SPS) as a means to generate realistic articulatory parameter sequences.
  • Keywords
    body sensor networks; brain-computer interfaces; prosthetics; silicon; speech coding; speech synthesis; articulatory silicon vocal tract; articulatory speech-prosthesis system; bandwidth-constrained body sensor network; brain-machine-interface; experimental integrated-circuit vocal tract; human vocal tract; low bit-rate speech-coding parameters; realistic articulatory parameter sequences; speech-coding strategies; speech-prosthesis simulator; Biological system modeling; Biology; Body sensor networks; Circuits; Electroencephalography; Prosthetics; Silicon; Speech coding; Speech synthesis; Synthesizers; analog bionic vocal tract; articulatory speech prosthesis; bio-inspired circuits; speech coding; speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Body Sensor Networks (BSN), 2010 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5817-2
  • Type

    conf

  • DOI
    10.1109/BSN.2010.29
  • Filename
    5504741