• DocumentCode
    3161396
  • Title

    The glottaltopograph: A method of analyzing high-speed images of the vocal folds

  • Author

    Chen, Gang ; Kreiman, Jody ; Alwan, Abeer

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    3985
  • Lastpage
    3988
  • Abstract
    High-speed video provides a way to record physiological vibrational patterns of the vocal folds. Due to the large amount of data it produces, many methods have been proposed to reduce raw images to the underlying vibrational patterns. Previous methods either focus on a certain location on the vocal folds, or a certain frequency of vibrational activity. In this paper, we propose the “glottaltopograph” which is based on principal component analysis of pixels´ gray scale time courses. This method reveals the overall synchronization of the vibrational patterns of the vocal folds. Experimental results showed that this method is effective in visualizing pathological and normal vocal-fold vibrational patterns.
  • Keywords
    principal component analysis; speech processing; video signal processing; glottaltopograph; high-speed image analysis; high-speed video; normal vocal-fold vibrational pattern visualization; pathological vocal-fold vibrational pattern visualization; physiological vibrational patterns; pixel gray scale time course; principal component analysis; vibrational activity; vocal fold vibrational patterns; Brightness; Image color analysis; Image reconstruction; Indexes; Principal component analysis; Vibrations; Visualization; high-speed video; principal component analysis; vocal fold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288791
  • Filename
    6288791