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Visual Speech Recognition on LRS2

14.6Mean WERAutoAVSR
12.36827.43442.557.566Feb 26, 2022Oct 31, 2022Jul 6, 2023Mar 10, 2024Nov 12, 2024Jul 18, 2025Mar 23, 2026

Evaluation results

MethodLinks
AutoAVSRVideo Hours=3,448, LM=true, Model Size=base-size2024.0614.6——
AUTO-AVSRType=V, Total Hours=34482023.0314.6——
SyncVSRVideo Hours=1,992, LM=true, Model Size=base-size2024.0616.5——
RAVEn-LargeVideo Hours=1,992/1,759, LM=true, Model Size=large-size2024.0617.9——
SyncVSRVideo Hours=1,992, LM=false, Model Size=base-size2024.0618.5——
RAVEn-LargeVideo Hours=1,992/1,759, LM=false, Model Size=large-size2024.0619.3——
SyncVSRVideo Hours=661, LM=true, Model Size=base-size2024.0620——
SyncVSRVideo Hours=661, LM=false, Model Size=base-size2024.0622——
VTPVideo Hours=2,676, LM=true, Model Size=base-size2024.0622.6——
VTPType=V, Total Hours=26762023.0322.6——
LMDecoderVideo Hours=1,992, LM=false, Model Size=base-size2024.0623.8——
VATLM-LargeVideo Hours=1,992/1,759, LM=false, Model Size=large-size2024.0624.3——
CM-AuxVideo Hours=1,459, LM=true, Model Size=base-size2024.0625.5——
AV-HUBERT-LargeVideo Hours=1,992/1,759, LM=false, Model Size=large-size2024.0625.5——
CM-auxType=V, Total Hours=14592023.0325.5——
VSR model with prediction-based auxiliary tasksPre-training Set=LRW+LRS3+AVSpeech, Training Set=LRS2, Training Sets Total Size (hours)=14592022.0225.80.425.5
CM-AuxVideo Hours=818, LM=true, Model Size=base-size2024.0627.3——
VSR model with prediction-based auxiliary tasksPre-training Set=LRW+LRS3, Training Set=LRS2, Training Sets Total Size (hours)=8182022.0227.60.227.3
AutoAVSRVideo Hours=818, LM=true, Model Size=base-size2024.0627.9——
AUTO-AVSRType=V, Total Hours=8182023.0327.9——
AutoAVSRPreprocessing=Lip crop & align2026.0327.9——
SyncVSRVideo Hours=223/438, LM=true, Model Size=base-size2024.0628.9——
VTPVideo Hours=698, LM=true, Model Size=base-size2024.0628.9——
VSR model with prediction-based auxiliary tasksPre-training Set=LRW, Training Set=LRS2, Training Sets Total Size (hours)=3802022.0229.50.428.7
HumanOmni-SpeakerPreprocessing=Raw video2026.0329.8——
VATLMVideo Hours=1,992/1,759, LM=false, Model Size=base-size2024.0630.6——
SyncVSRVideo Hours=223/438, LM=false, Model Size=base-size2024.0630.7——
AV-HUBERTVideo Hours=1,992/1,759, LM=false, Model Size=base-size2024.0631.2——
AV-HuBERT BasePreprocessing=Lip crop & align2026.0331.2——
RAVEnVideo Hours=661, LM=true, Model Size=base-size2024.0632.1——
CM-AuxVideo Hours=223/438, LM=true, Model Size=base-size2024.0632.9——
CM-auxType=V2023.0332.9——
VSR model with prediction-based auxiliary tasksTraining Set=LRS2, Training Sets Total Size (hours)=2232022.0233.60.532.9
LIRAVideo Hours=661, LM=true, Model Size=base-size2024.0638.8——
CM-Seq2SeqVideo Hours=223/438, LM=true, Model Size=base-size2024.0639.1——
CM-seq2seqType=V, Extra Data=false, Total Hours=2232023.0339.1——
CTC/AttentionType=V, Total Hours=600002023.0343.2——
MVMVideo Hours=818, LM=false, Model Size=base-size2024.0644.5——
TM-Seq2SeqVideo Hours=1,391, LM=true, Model Size=base-size2024.0648.3——
TM-seq2seqType=V, Total Hours=13912023.0348.3——
TDNNVideo Hours=223, LM=true, Model Size=base-size2024.0648.9——
TDNNType=V2023.0348.9——
KD-Seq2SeqVideo Hours=818, LM=false, Model Size=base-size2024.0649.2——
KD-seq2seqType=V, Total Hours=8182023.0349.2——
KD + CTCVideo Hours=995, LM=true, Model Size=base-size2024.0651.3——
KD + CTCType=V, Total Hours=9952023.0351.3——
CTC/AttentionType=V, Total Hours=3802023.0363.5——
CTC/AttentionPreprocessing=Lip crop & align2026.0363.5——
MV-WASType=V2023.0370.4——
CM-seq2seqPre-training Set=LRW, Training Set=LRS2, Training Sets Total Size (hours)=3802022.02——37.9
CTC/Att.Pre-training Set=LRW, Training Set=LRS2, Training Sets Total Size (hours)=3802022.02——63.5
KD + CTCPre-training Set=VoxCeleb2clean+LRS3, Training Set=LRS2, Training Sets Total Size (hours)=9952022.02——51.3
KD-seq2seqPre-training Set=LRW+LRS3, Training Set=LRS2, Training Sets Total Size (hours)=8182022.02——49.2
MV-WASTraining Set=LRS2, Training Sets Total Size (hours)=2232022.02——70.4
TDNNTraining Set=LRS2, Training Sets Total Size (hours)=2232022.02——48.9
TM-seq2seqPre-training Set=MVLRS-LRS3, Training Set=LRS2, Training Sets Total Size (hours)=13912022.02——48.3