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Contemporary speech science is driven by the availability of large, diverse speech corpora. Such infrastructure underpins research and technological advances in various practical, socially beneficial ...
A segment-based audio-visual speech recognizer: Data collection, development and initial experiments.
An Asynchronous DBN for Audio-Visual Speech Recognition.
Articulatory Feature-based Methods for Acoustic and Audio-visual Speech Recognition: Summary from the 2006 JHU Summer Workshop.
We study the problem of automatic visual speech recognition (VSR) using dynamic Bayesian network (DBN)-based models consisting of multiple sequences of hidden states, each corresponding to an articu...
We study the problem of automatic visual speech recognition (VSR) using dynamic Bayesian network (DBN)-based models consisting of multiple sequences of hidden states, each corresponding to an articula...
Articulatory feature models have been proposed in the automatic speech recognition community as an alternative to phone-based models ofspeech. In this paper, we extend this approach to the visual moda...
A common approach to produce visual speech is to interpolate the parameters describing a sequence of mouth shapes, known as visemes, where a viseme corresponds to a phoneme in an utterance. The interp...

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