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
Link To Document :
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