SOTAVerified

Audio-Visual Speech Recognition

Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 100 papers

TitleStatusHype
Visual Context-driven Audio Feature Enhancement for Robust End-to-End Audio-Visual Speech RecognitionCode1
CI-AVSR: A Cantonese Audio-Visual Speech Datasetfor In-car Command RecognitionCode1
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech RecognitionCode1
CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command RecognitionCode1
End-to-end Audio-visual Speech Recognition with ConformersCode1
AV Taris: Online Audio-Visual Speech RecognitionCode1
Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech RecognitionCode1
Discriminative Multi-modality Speech RecognitionCode1
How to Teach DNNs to Pay Attention to the Visual Modality in Speech RecognitionCode1
Deep Audio-Visual Speech RecognitionCode1
ViCocktail: Automated Multi-Modal Data Collection for Vietnamese Audio-Visual Speech Recognition—0
Cocktail-Party Audio-Visual Speech Recognition—0
The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition—0
Scaling and Enhancing LLM-based AVSR: A Sparse Mixture of Projectors Approach—0
SwinLip: An Efficient Visual Speech Encoder for Lip Reading Using Swin Transformer—0
Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides—0
Visual-Aware Speech Recognition for Noisy Scenarios—0
Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs—0
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition—0
Adapter-Based Multi-Agent AVSR Extension for Pre-Trained ASR Models—0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
Uncovering the Visual Contribution in Audio-Visual Speech Recognition—0
Quantitative Analysis of Audio-Visual Tasks: An Information-Theoretic Perspective—0
DCIM-AVSR : Efficient Audio-Visual Speech Recognition via Dual Conformer Interaction Module—0
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic DataCode0
Show:102550
← PrevPage 2 of 4Next →
All datasetsLRS2LRS3-TEDLRWCAS-VSR-S101

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Hybrid CTC / AttentionWord Error Rate (WER)39.1—Unverified
2TM-Seq2seqTest WER8.5—Unverified
3TM-CTCTest WER8.2—Unverified
4CTC/AttentionTest WER7—Unverified
5CTC/AttentionTest WER1.5—Unverified
6Whisper-FlamingoTest WER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Hyb-ConformerWord Error Rate (WER)2.3—Unverified
2Zero-AVSRWord Error Rate (WER)1.5—Unverified
3AV-HuBERT LargeWord Error Rate (WER)1.4—Unverified
4Whisper-FlamingoWord Error Rate (WER)0.76—Unverified
5MMS-LLaMAWord Error Rate (WER)0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1AVCRFormerTop-1 Accuracy98.81—Unverified
22DCNN + BiLSTM + ResNet + MLFTop-1 Accuracy98.76—Unverified
3PBLTop-1 Accuracy98.3—Unverified
#ModelMetricClaimedVerifiedStatus
1ES³ Base*Word Error Rate (WER)11—Unverified