Abstract

In this paper we present a robust model for video sequence processing that is aimed at extraction of the data describing the mouth shape in the image. The method allows computationally light data extraction from the video sequence. The extracted data can then be used in lip-reading applications. The paper describes results of two different experiments with artificial neural network recognizers trained on the recognition of speech boundaries and vowel-consonant discrimination.