Audio-visual speech recognition (AVSR) involves recognising of what a speaker is uttering using both audio and visual cues. While phonemes, the units of speech in the audio domain, are well documented, this is not equally true for the speech units in the visual domain: visemes. In the literature, only a generic viseme definition is recognised. There is no agreement on what visemes practically imply, and if they are just related to mouth position or mouth movement. In this paper a visual-only speech recognition system is presented, trained using either PCA or optical flow visual features. Recognition rate changes depending on which practical viseme definition has been used. Four viseme definitions were tested and results are analyzed in order to establish which is, within the 4 candidates, the best performing viseme definition.
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