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 51–75 of 153 papers

TitleStatusHype
Lip Sync Matters: A Novel Multimodal Forgery DetectorCode0
Cross-Attention Fusion of Visual and Geometric Features for Large Vocabulary Arabic Lipreading—0
Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction—0
Contrastive Self-Supervised Learning of Global-Local Audio-Visual Representations—0
GLaM-Sign: Greek Language Multimodal Lip Reading with Integrated Sign Language Accessibility—0
Contrastive Learning of Global and Local Video Representations—0
Fusing information streams in end-to-end audio-visual speech recognition—0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings—0
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition—0
Landmark-Guided Cross-Speaker Lip Reading with Mutual Information Regularization—0
Finding phonemes: improving machine lip-reading—0
Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations—0
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments—0
Expression-preserving face frontalization improves visually assisted speech processing—0
Exploring Lip Segmentation Techniques in Computer Vision: A Comparative Analysis—0
Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition—0
Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices—0
Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert—0
Enhancing Lip Reading with Multi-Scale Video and Multi-Encoder—0
End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks—0
Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation—0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset—0
Advances and Challenges in Deep Lip Reading—0
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition—0
Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides—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