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
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
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision—0
Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading—0
Advances and Challenges in Deep Lip Reading—0
A large-scale multimodal dataset of human speech recognition—0
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning—0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset—0
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition—0
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids—0
ASR is all you need: cross-modal distillation for lip reading—0
A Study on Lip Localization Techniques used for Lip reading from a Video—0
Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices—0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings—0
Audio-Visual Speech Recognition is Worth 32328 Voxels—0
Audio-Visual Synchronisation in the wild—0
Audio-visual video face hallucination with frequency supervision and cross modality support by speech based lip reading loss—0
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading—0
Bridge to Non-Barrier Communication: Gloss-Prompted Fine-grained Cued Speech Gesture Generation with Diffusion Model—0
Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides—0
Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation—0
Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition—0
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments—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