• Login
    View Item 
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A novel wireless tongue tracking system for speech applications

    Thumbnail
    View/Open
    SEBKHI-DISSERTATION-2019.pdf (13.73Mb)
    Date
    2019-11-01
    Author
    Sebkhi, Nordine
    Metadata
    Show full item record
    Abstract
    The technological innovation of MagTrack is its ability to track the position of a magnetic tracer wirelessly, and with an accuracy of less than 2 mm, by implementing a novel permanent magnet localization method. Combining its wireless and high-accuracy tracking capability with the millimetric dimensions of the tracer, MagTrack is very well-suited for tongue tracking. Compared to commercially available tongue tracking systems, MagTrack has many of their advantages but without most of their shortcomings. For instance, MagTrack can be embedded in a headset to be portable, is affordable by using off-the-shelf components and custom-designed parts that are 3D-printed in our lab, and the tongue can be tracked wirelessly, thus enabling it to move without any hindrance. Having access to tongue motion is important for many applications. Chief among them is the treatment of speech sound disorders in which the errant placement of the tongue is responsible for the decreased speech intelligibility. A preliminary study was conducted to assess the feasibility of MagTrack to be used in gamified visual feedback that would help patients better practice correct placement of their tongue by providing objective and quantitative measures of speech performance based on the error between their tongue placement and carefully-selected visual targets. Another promising application for MagTrack is as the input of a silent speech interface that can recognize speech solely from tongue motion to generate synthesized voice for people that cannot produce sounds. Pilot human studies were conducted to obtain a preliminary assessment of speech recognition accuracy and the quality of synthesized speech from tongue motion recorded on hundreds of utterances by MagTrack. Finally, since MagTrack is an improved version of the Tongue Drive System, it has the potential to be a practical assistive technology to help people with quadriplegia to regain autonomy for some tasks of their daily life such as driving their powered wheelchair, or even control their computer and mobile devices without the help of their caregivers.
    URI
    http://hdl.handle.net/1853/62309
    Collections
    • Georgia Tech Theses and Dissertations [23877]
    • School of Electrical and Computer Engineering Theses and Dissertations [3381]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology