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Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.

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DETAILS

  • Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
  • Dissertationsschrift
  • Wand, Michael
  • Kartoniert, XVIII, 256 S.
  • graph. Darst.
  • Sprache: Englisch
  • 24 cm
  • ISBN-13: 978-3-7315-0211-1
  • Titelnr.: 51302041
  • Gewicht: 626 g
  • KIT Scientific Publishing (2015)
  • Herstelleradresse

    KIT Scientific Publishing

    Strasse am Forum 2

    76131 - DE Karlsruhe

    E-Mail: info@ksp.kit.edu

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