Confusability of Phonemes Grouped According to their Viseme Classes in Noisy Environments

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• Publication year

  2004

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  Computer Science

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  Open on Semantic Scholar

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  Semantic Scholar

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• Audio-Visual Automatic Speech Recognition: An Overview

  2004cited by this paper
• Recent advances in the automatic recognition of audiovisual speech

  2003cited by this paper
• CUAVE: A new audio-visual database for multimodal human-computer interface research

  2002cited by this paper
• A review of speech-based bimodal recognition

  2002cited by this paper
• Audio-to-Visual Conversion Using Hidden Markov Models

  2002cited by this paper
• EURASIP Journal on Applied Signal Processing 2002:11, 1260–1273 c ○ 2002 Hindawi Publishing Corporation Noise Adaptive Stream Weighting in Audio-Visual Speech Recognition

  2002influential reference
• Large-vocabulary audio-visual speech recognition: a summary of the Johns Hopkins Summer 2000 Workshop

  2001cited by this paper
• Weighting schemes for audio-visual fusion in speech recognition

  2001cited by this paper
• Audiovisual speech processing

  2001cited by this paper
• XM2VTSDB: The Extended M2VTS Database

  1999cited by this paper
• Audio-visual integration in multimodal communication

  1998cited by this paper
• Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST

  1993cited by this paper
• Fundamentals of speech recognition

  1993cited by this paper
• The Design for the Wall Street Journal-based CSR Corpus

  1992cited by this paper
• A tutorial on hidden Markov models and selected applications in speech recognition

  1989cited by this paper
• Automatic Lipreading to Enhance Speech Recognition (Speech Reading)

  1984cited by this paper
• Hearing lips and seeing voices

  1976cited by this paper

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  2018cites this paper
• A Framework for Speechreading Acquisition Tools

  2017cites this paper
• A comparative study of English viseme recognition methods and algorithms

  2017cites this paper
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  2016cites this paper
• Visual units and confusion modelling for automatic lip-reading

  2016cites this paper
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  2016cites this paper
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  2016cites this paper
• Automatic Emotion Recognition: Quantifying Dynamics and Structure in Human Behavior.

  2016cites this paper
• University of Dundee A Framework for Speechreading Acquisition Tools

  2016cites this paper
• Variability and stability in the McGurk effect: contributions of participants, stimuli, time, and response type

  2015cites this paper
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• Variability and stability in the McGurk effect: contributions of participants, stimuli, time, and response type

  2015cites this paper
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  2014cites this paper
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  2014cites this paper
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  2014cites this paper
• Say Cheese vs. Smile: Reducing Speech-Related Variability for Facial Emotion Recognition

  2014cites this paper
• Hindi viseme recognition using subspace DCT features

  2014influential citation
• Viseme Recognition System Based on Transformed Acoustic Models

  2013cites this paper
• Robust tri-modal automatic speech recognition for consumer applications

  2013cites this paper
• Disproving visemes as the basic visual unit of speech

  2013cites this paper
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  2013cites this paper
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• Robust visual speech recognition using optical flow analysis and rotation invariant features

  2011cites this paper
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  2010cites this paper
• Class-specific classifiers in audio-visual speech recognition

  2010cites this paper
• Augmenting comprehension of speech in noise with a computer-generated facial avatar and its effect on performance

  2010cites this paper
• Visual emotion recognition using compact facial representations and viseme information

  2010cites this paper
• Improved decision trees for multi-stream HMM-based audio-visual continuous speech recognition

  2009cites this paper
• A Java3D Talking Head for a Chatbot

  2008cites this paper
• Lip synchronization: from phone lattice to PCA eigen-projections using neural networks

  2008cites this paper
• Virtual conversation with a real talking head

  2008cites this paper
• Lip Localization and Viseme Recognition from Video Sequences

  2007cites this paper
• Improvements in Speech Recognition for Embedded Devices by taking Advantage of Lip Reading Techniques

  2006cites this paper
• Audio-visual speaker identification using the CUAVE database

  2005cites this paper