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Automatic Visual Speech Recognition

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/scj.4690220607openalex-snapshot
Automatic lipreading by optical‐flow analysis
inferredcites →https://doi.org/10.1006/cviu.1996.0570openalex-snapshot
Speechreading using Probabilistic Models
inferredcites →https://doi.org/10.1007/1-4020-3075-4_3openalex-snapshot
A Robust Multimodal Speech Recognition Method using Optical Flow Analysis
inferredcites →https://doi.org/10.1007/3-540-48239-3_65openalex-snapshot
Classifying Visemes for Automatic Lipreading
inferredcites →https://doi.org/10.1007/3-540-63507-6_216openalex-snapshot
Unsupervised texture segmentation using feature distributions
inferredcites →https://doi.org/10.1007/978-3-030-63416-2_800openalex-snapshot
Active Appearance Models
inferredcites →https://doi.org/10.1007/978-3-540-74272-2_52openalex-snapshot
Automatic Quantitative Mouth Shape Analysis
inferredcites →https://doi.org/10.1007/978-3-540-76631-5_74openalex-snapshot
Lips Shape Extraction Via Active Shape Model and Local Binary Pattern
inferredcites →https://doi.org/10.1007/978-94-015-8935-2_15openalex-snapshot
Visually Recognizing Speech Using Eigensequences
inferredcites →https://doi.org/10.1007/bf02884428openalex-snapshot
Comparison between different feature extraction techniques for audio-visual speech recognition
inferredcites →https://doi.org/10.1007/bfb0016021openalex-snapshot
The M2VTS multimodal face database (Release 1.00)
inferredcites →https://doi.org/10.1023/a:1008062122135openalex-snapshot
Frame Rate and Viseme Analysis for Multimedia Applications to Assist Speechreading
inferredcites →https://doi.org/10.1023/b:vlsi.0000015091.47302.07openalex-snapshot
Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images
inferredcites →https://doi.org/10.1038/264746a0openalex-snapshot
Hearing lips and seeing voices
inferredcites →https://doi.org/10.1044/jshr.1104.796openalex-snapshot
Confusions Among Visually Perceived Consonants
inferredcites →https://doi.org/10.1049/ic:19961151openalex-snapshot
Design issues for a digital audio-visual integrated database
inferredcites →https://doi.org/10.1080/17470910601043644openalex-snapshot
Spatial statistics of gaze fixations during dynamic face processing
inferredcites →https://doi.org/10.1109/34.982900openalex-snapshot
Extraction of visual features for lipreading
inferredcites →https://doi.org/10.1109/6046.865479openalex-snapshot
Audio-visual speech modeling for continuous speech recognition
inferredcites →https://doi.org/10.1109/83.605417openalex-snapshot
Lipreading from color video
inferredcites →https://doi.org/10.1109/icassp.1993.319179openalex-snapshot
Improving connected letter recognition by lipreading
inferredcites →https://doi.org/10.1109/icassp.1994.389567openalex-snapshot
"Eigenlips" for robust speech recognition
inferredcites →https://doi.org/10.1109/icassp.1995.479285openalex-snapshot
Toward movement-invariant automatic lip-reading and speech recognition
inferredcites →https://doi.org/10.1109/icassp.1996.543247openalex-snapshot
Integrating audio and visual information to provide highly robust speech recognition
inferredcites →https://doi.org/10.1109/icassp.2002.5745028openalex-snapshot
CUAVE: A new audio-visual database for multimodal human-computer interface research
inferredcites →https://doi.org/10.1109/icassp.2005.1415153openalex-snapshot
Lip Reading for Robust Speech Recognition on Embedded Devices
inferredcites →https://doi.org/10.1109/icassp.2007.366941openalex-snapshot
Profile View Lip Reading
inferredcites →https://doi.org/10.1109/icip.1998.999008openalex-snapshot
An image transform approach for HMM based automatic lipreading
inferredcites →https://doi.org/10.1109/icip.2008.4712044openalex-snapshot
Local binary patterns for lip motion analysis
inferredcites →https://doi.org/10.1109/icslp.1996.607019openalex-snapshot
Audiovisual speech recognition using multiscale nonlinear image decomposition
inferredcites →https://doi.org/10.1109/iih-msp.2006.265008openalex-snapshot
A PCA Based Visual DCT Feature Extraction Method for Lip-Reading
inferredcites →https://doi.org/10.1109/iih-msp.2006.35openalex-snapshot
A PCA Based Visual DCT Feature Extraction Method for Lip-Reading
inferredcites →https://doi.org/10.1109/ivtta.1994.341524openalex-snapshot
Use of the Dutch POLYPHONE corpus for application development
inferredcites →https://doi.org/10.1109/mmcs.1999.779283openalex-snapshot
Automatic lip tracking: Bayesian segmentation and active contours in a cooperative scheme
inferredcites →https://doi.org/10.1109/mmsp.2006.285261openalex-snapshot
Lipreading Using Profile Versus Frontal Views
inferredcites →https://doi.org/10.1121/1.411324openalex-snapshot
Viseme classifications of Dutch consonants and vowels
inferredcites →https://doi.org/10.1145/57167.57170openalex-snapshot
An improved automatic lipreading system to enhance speech recognition
inferredcites →https://doi.org/10.1155/s1110865702206083openalex-snapshot
Dynamic Bayesian Networks for Audio-Visual Speech Recognition
inferredcites →https://doi.org/10.21437/eurospeech.2003-459openalex-snapshot
The LIUM-AVS database : a corpus to test lip segmentation and speechreading systems in natural conditions
inferredcites →https://doi.org/10.21437/eurospeech.2003-575openalex-snapshot
Robust methods in automatic speech recognition and understanding
inferredcites →https://doi.org/10.21437/icslp.1994-139openalex-snapshot
See me, hear me: integrating automatic speech recognition and lip-reading
inferredcites →https://doi.org/10.21437/icslp.1996-10openalex-snapshot
Audiovisual speech recognition using multiscale nonlinear image decomposition.
inferredcites →https://doi.org/10.21437/icslp.1998-176openalex-snapshot
Support vector machines for speech recognition
inferredcites →https://doi.org/10.21437/icslp.2002-432openalex-snapshot
An audio-visual corpus for multimodal speech recognition in dutch language
inferredcites →https://doi.org/10.21437/interspeech.2004-424openalex-snapshot
AVICAR: audio-visual speech corpus in a car environment
inferredcites →https://doi.org/10.21437/interspeech.2004-433openalex-snapshot
The audio-video australian English speech data corpus AVOZES
inferredcites →https://doi.org/10.26481/dis.20060630naopenalex-snapshot
Speech meets script - fMRI studies on the integration of letter and speech sounds
inferredcites →https://doi.org/10.5281/zenodo.36365openalex-snapshot
Statistical Lip Modelling For Visual Speech Recognition
inferredcites →https://doi.org/10.5281/zenodo.39912openalex-snapshot
Mutual Information Eigenlips For Audio-Visual Speech Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-12209-6_15openalex-snapshot
Optimizing Phoneme-to-Viseme Mapping for Continuous Lip-Reading in Spanish
inferred← citeshttps://doi.org/10.1007/978-3-030-90525-5_7openalex-snapshot
Automated Lip-Reading Robotic System Based on Convolutional Neural Network and Long Short-Term Memory
inferred← citeshttps://doi.org/10.1007/978-3-319-10590-1_19openalex-snapshot
Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition
inferred← citeshttps://doi.org/10.1016/j.imavis.2018.07.002openalex-snapshot
Survey on automatic lip-reading in the era of deep learning
inferred← citeshttps://doi.org/10.1109/access.2020.3036865openalex-snapshot
A Survey of Research on Lipreading Technology
inferred← citeshttps://doi.org/10.1109/fg.2015.7163162openalex-snapshot
A survey on mouth modeling and analysis for Sign Language recognition
inferred← citeshttps://doi.org/10.1109/fg.2017.34openalex-snapshot
Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database
inferred← citeshttps://doi.org/10.1109/tencon.2017.8227999openalex-snapshot
Marathi digit recognition using lip geometric shape features and dynamic time warping
inferred← citeshttps://doi.org/10.1186/s13636-024-00345-7openalex-snapshot
Continuous lipreading based on acoustic temporal alignments
inferred← citeshttps://doi.org/10.29121/ijesrt.v10.i12.2021.7openalex-snapshot
MOUTH DETECTION BY USING MACHINE LEARNING AND DEEP LEARNING A CASE STUDY OF SOME RULES OF TAJWEED
inferred← citeshttps://doi.org/10.29121/ijesrt.v10.i9.2021.1openalex-snapshot
VISUAL SPEECH RECOGNITION BY USING MACHINE LEARNING AND DEEP LEARNING A CASE STUDY OF SOME RULES OF TAJWEED
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