SOTAVerified

Lip Reading

Lip Reading is a task to infer the speech content in a video by using only the visual information, especially the lip movements. It has many crucial applications in practice, such as assisting audio-based speech recognition, biometric authentication and aiding hearing-impaired people.

Source: Mutual Information Maximization for Effective Lip Reading

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 153 papers

TitleStatusHype
Synthesising 3D Facial Motion from "In-the-Wild" Speech—0
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision—0
Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database—0
Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale—0
Towards Pose-invariant Lip-Reading—0
VALLR: Visual ASR Language Model for Lip Reading—0
VCSE: Time-Domain Visual-Contextual Speaker Extraction Network—0
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories—0
Visual Passwords Using Automatic Lip Reading—0
VisualSpeaker: Visually-Guided 3D Avatar Lip Synthesis—0
Visual Speech Recognition—0
Visual Speech Recognition in a Driver Assistance System—0
Visual Words for Automatic Lip-Reading—0
Which phoneme-to-viseme maps best improve visual-only computer lip-reading?—0
Word-level Persian Lipreading Dataset—0
Neuromorphic Facial Analysis with Cross-Modal Supervision—0
Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks—0
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors—0
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-Reading—0
Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective—0
RAL:Redundancy-Aware Lipreading Model Based on Differential Learning with Symmetric Views—0
Realistic Speech-Driven Facial Animation with GANs—0
Resolution limits on visual speech recognition—0
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion—0
Re-synchronization using the Hand Preceding Model for Multi-modal Fusion in Automatic Continuous Cued Speech Recognition—0
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All datasetsGRID corpus (mixed-speech)LRWTCD-TIMIT corpus (mixed-speech)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Lip2WavWER14.08—Unverified
#ModelMetricClaimedVerifiedStatus
1Lip2WavWER34.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Lip2WavWER31.26—Unverified