White Papers

Audiovisual Speech Recognition With Articulator Positions as Hidden Variables

Overview 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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Publisher
University of Edinburgh
File Format
PDF
Date Published
Dec 13, 2008
Format
White Papers
Topics
Voice Recognition, Streaming Media

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