• DocumentCode
    1833435
  • Title

    Analysis of vocal-fold motion from laryngeal image sequences

  • Author

    Gonzalez, Jose ; Wood, Sally L. ; Yuling Yan

  • Author_Institution
    Electr. Eng. Dept., Santa Clara Univ., Santa Clara, CA, USA
  • fYear
    2013
  • fDate
    11-14 Aug. 2013
  • Firstpage
    101
  • Lastpage
    106
  • Abstract
    Analysis of vocal-fold vibration from high speed laryngeal images has been shown to have diagnostic value in the assessment of normal and abnormal voice production. This paper presents a new way to define the boundaries of the vocal-fold opening that is computationally efficient and operates successfully over a range of threshold settings. The area within these boundaries is computed for each image frame to produce the glottal area waveform (GAW) as a function of time. The frequency content of the GAW is analyzed to compare with previous results used for clinical evaluation. In addition, analysis of the glottal area waveform used by others is extended to include new parameters using Fourier descriptors of the boundary contours.
  • Keywords
    biomechanics; image motion analysis; image sequences; medical image processing; vibrations; waveform analysis; Fourier descriptors; GAW; abnormal voice production assessment; boundary contours; clinical evaluation; frequency content; glottal area waveform; high speed laryngeal image sequences; image frame; normal voice production assessment; vocal-fold motion analysis; vocal-fold vibration analysis; Approximation methods; Cameras; Computational efficiency; Harmonic analysis; Production; Shape; Spectrogram; Fourier descriptors; frequency of vocal-fold vibration; glottal area waveform; laryngeal imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE
  • Conference_Location
    Napa, CA
  • Print_ISBN
    978-1-4799-1614-6
  • Type

    conf

  • DOI
    10.1109/DSP-SPE.2013.6642573
  • Filename
    6642573