SOTAVerified

Visual Speech Recognition

Papers

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Showing 76–100 of 182 papers

TitleStatusHype
Learn2Talk: 3D Talking Face Learns from 2D Talking Face—0
DCIM-AVSR : Efficient Audio-Visual Speech Recognition via Dual Conformer Interaction Module—0
Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition—0
Continuous Speech Recognition using EEG and Video—0
Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing—0
Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning—0
Leveraging Uni-Modal Self-Supervised Learning for Multimodal Audio-visual Speech Recognition—0
Conformers are All You Need for Visual Speech Recognition—0
Lightweight Operations for Visual Speech Recognition—0
Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping—0
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition—0
Lip Graph Assisted Audio-Visual Speech Recognition Using Bidirectional Synchronous Fusion—0
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models—0
Lip Reading Sentences in the Wild—0
Advances and Challenges in Deep Lip Reading—0
Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech Recognition—0
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data—0
Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines—0
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data—0
Which phoneme-to-viseme maps best improve visual-only computer lip-reading?—0
Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs—0
LRWR: Large-Scale Benchmark for Lip Reading in Russian language—0
Manifold-Kernels Comparison in MKPLS for Visual Speech Recognition—0
Combining Multiple Views for Visual Speech Recognition—0
Cocktail-Party Audio-Visual Speech Recognition—0
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All datasetsLRS3-TEDLRS2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VTP with more dataWord Error Rate (WER)30.7—Unverified
2CTC/AttentionWord Error Rate (WER)19.1—Unverified
#ModelMetricClaimedVerifiedStatus
1VTP with more dataWord Error Rate (WER)22.6—Unverified