Geometrical-Based Lip-Reading using Template Probabilistic Multi-Dimension Dynamic Time Warping

M. Z., Ibrahim and Mulvaney, D. J. (2015) Geometrical-Based Lip-Reading using Template Probabilistic Multi-Dimension Dynamic Time Warping. Journal of Visual Communication and Image Representation , 30. 219 - 233. ISSN 1047-3203. (Published)

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By identifying lip movements and characterizing their associations with speech sounds, the performance of speech recognition systems can be improved, particularly when operating in noisy environments. In this paper, we present a geometrical-based automatic lip reading system that extracts the lip region from images using conventional techniques, but the contour itself is extracted using a novel application of a combination of border following and convex hull approaches. Classification is carried out using an enhanced dynamic time warping technique that has the ability to operate in multiple dimensions and a template probability technique that is able to compensate for differences in the way words are uttered in the training set. The performance of the new system has been assessed in recognition of the English digits 0 to 9 as available in the {CUAVE} database. The experimental results obtained from the new approach compared favorably with those of existing lip reading approaches, achieving a word recognition accuracy of up to 71 with the visual information being obtained from estimates of lip height, width and their ratio.

Item Type: Article
Uncontrolled Keywords: Lip reading; Lip geometry; Mouth detection; Skin segmentation; Convex hull; Multi dimension dynamic time warping; Template probabilistic; OpenCV
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mr. Zamri Ibrahim
Date Deposited: 11 Apr 2016 01:27
Last Modified: 21 Jun 2016 02:45
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