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Abstract

VKFD: Computerized Analysis of Videokymographic Data

Novozámský Adam, Sedlář Jiří, Zita Aleš, Herbst Ch., Švec J. G., Zitová Barbara, Flusser Jan

: PEVOC, p. 293-294 , Eds: Domagalský T.

: PEVOC - Pan Europian Voice Conference /10./, (Prague, CZ, 21.08.2013-24.08.2013)

: videokymography, feature detection, vocal fold, rima glottidis

: http://library.utia.cas.cz/separaty/2013/ZOI/novozamsky-vkfd computerized analysis of videokymographic data.pdf

(eng): Our paper proposes a software solution for the enhancement of videokymographic data and the extraction of typical characteristics of vocal folds vibrations, such as, e.g., the time-varying extent of rima glottidis and the progression of mucosal waves, and corresponding vibration parameters (e.g. frequency, symmetries, amplitude). The proposed methodology is based on well-established digital image processing methods; namely image denoising, edge detection, image segmentation, and object identification. The set of evaluated features was designed by experts, drawing on their longtime expertise with videokymography.

: JD