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Technique of video features extraction for audio-video speech recognition system

Kubanek M.

Computing, Multimedia and Intelligent Techniques

2005

Vol. 1 nr 1

181-190

Mainstream automatic speech recognition has focused almost exclusively on the acoustic signal. The performance of these systems degrades considerably in the real word in the presence of noise. It was needed novel approaches that use other orthogonal sources of information to the acoustic input that not only considerably improve the performance in severely degraded conditions, but also are independent to the type of noise and reverberation. Visual speech is one such source not perturbed by the acoustic environment and noise. In this paper, it was presented own approach to lip-tracking for audio-visual speech recognition system. It was presented video analysis of visual speech for extraction visual features from a talking person in color video sequences. It was developed a method for automatically face, eyes, lip's region, lip's corners and lip's contour de-tection. Finally, the paper will show results of lip-tracking depending on various factors (lighting, beard).