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Speech recognition, by both humans and machines, benefits from visual observation of the face, especially at low Signal-to-Noise Ratios (SNRs). It has often been noticed, however, that the audible and visible correlates of a phoneme may be asynchronous; perhaps for this reason, automatic speech recognition structures that allow asynchrony between the audible phoneme and the visible viseme outperform recognizers that allow no such asynchrony. This paper proposes, and tests using experimental speech recognition systems, a new explanation for audio-visual asynchrony.

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Format:PDFSize:264 KB
Date:May 2007
Pages:6

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