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Audio-Visual Speech Recognition

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

Papers

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Showing 1–50 of 100 papers

TitleStatusHype
mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech RecognitionCode3
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and TranslationCode3
CoGenAV: Versatile Audio-Visual Representation Learning via Contrastive-Generative SynchronizationCode2
Large Language Models are Strong Audio-Visual Speech Recognition LearnersCode2
Auto-AVSR: Audio-Visual Speech Recognition with Automatic LabelsCode2
MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text TranslationCode2
Robust Self-Supervised Audio-Visual Speech RecognitionCode2
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech TokensCode1
Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech RepresentationsCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech RepresentationCode1
Tailored Design of Audio-Visual Speech Recognition Models using BranchformersCode1
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech RecognitionCode1
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech RecognitionCode1
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech SeparationCode1
Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion EncoderCode1
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech RecognitionCode1
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech RecognitionCode1
OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality AlignmentCode1
MAVD: The First Open Large-Scale Mandarin Audio-Visual Dataset with Depth InformationCode1
Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task GeneralizationCode1
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech RecognitionCode1
Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability ScoringCode1
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech DatasetCode1
Jointly Learning Visual and Auditory Speech Representations from Raw DataCode1
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
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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