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A Blueprint for a Comprehensive Australian English Auditory-Visual Speech Corpus
Australian English Auditory Visual Speech Corpus
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2015/4/7
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 ...
Articulatory Features for Robust Visual Speech Recognition
visual feature extraction articulatory features
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2015/3/11
Articulatory Features for Robust Visual Speech Recognition.
A segment-based audio-visual speech recognizer: Data collection, development and initial experiments
Data collection development initial experiments
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2015/3/11
A segment-based audio-visual speech recognizer: Data collection, development and initial experiments.
Production Domain Modeling of Pronunciation for Visual Speech Recognition
Production Domain Modeling of Pronunciation Visual Speech Recognition
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2015/3/11
Production Domain Modeling of Pronunciation for Visual Speech Recognition.
An Asynchronous DBN for Audio-Visual Speech Recognition
Speech recognition Asynchronous
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2015/3/10
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
Speech recognition speech processing
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2015/3/10
Articulatory Feature-based Methods for Acoustic and Audio-visual Speech Recognition: Summary from the 2006 JHU Summer Workshop.
Multistream Articulatory Feature-Based Models for Visual Speech Recognition
articulatory features dynamic Bayesian networks
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2015/3/10
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...
Multistrea m Articulat ory Feature-B ased Models for Visual Speech Recog nition
Visual speech recognition articulatory features dynamic Bayesian networks support vector machines
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2014/11/27
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...
PRODUCTION DOMAIN MODELING OF PRONUNCIATION FOR VISUAL SPEECH RECOGNITION
PRODUCTION DOMAIN MODELING PRONUNCIATION VISUAL SPEECH RECOGNITION
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2014/11/27
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 Constraint-Based Approach to Visual Speech for a Mexican-Spanish Talking Head
Constraint-Based Approach Visual Speech Mexican-Spanish Talking Head
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2009/9/3
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...