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Method of audio-visual polish speech recognition with use hidden Markov Models

Kubanek M.

Computing, Multimedia and Intelligent Techniques

2007

Vol. 3, nr 1

87-99

This document contains the novel approach 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. It was proposed own approach to lip-tracking for audio-visual speech recognition system and novel audio-visual fusion technique. It was presented video analysis of visual speech for extraction visual features from a talking person in color video sequences. I was developed a method for automatically face, eyes, region of lips, region of corners and detection of contour of lips. Finally, the paper will show results of audio -visual speech recognition in noisy environments.