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Automatic Speech Recognition on ASRU 2019 (test)

2.88Match Error Rate (MER)Interactive ASR
1.99927.944613.8919.8354Sep 29, 2025Oct 31, 2025Dec 2, 2025Jan 3, 2026Feb 4, 2026Mar 8, 2026Apr 10, 2026

Evaluation results

MethodLinks
Interactive ASRInteraction Loop=102026.042.8820.880.82
Interactive ASRInteraction Loop=32026.043.0922.083.06
Interactive ASRInteraction Loop=22026.043.2123.044.59
Interactive ASRInteraction Loop=12026.043.5925.228.1
Whisper-large-v3 + ft full model#Train. Params.=1541.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.096.6——
Interactive ASRInteraction Loop=02026.046.638.8526.89
Whisper-medium + ft full model#Train. Params.=762.3 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.096.8——
Whisper-small + ft full model + w/ FA-LID-UB#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.098.7——
Whisper-small + ft full model + w/ LAL#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.098.7——
Whisper-small + ft full model#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.098.8——
Whisper-small + ft full model + w/ FA-LID-LB#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.098.8——
Whisper-small + ft full model + w/ CTC-LID#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.098.9——
Whisper-small + ft encoder-only#Train. Params.=87.0 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.099.8——
Whisper-small + adapt. w/ Bi-LoRA#Train. Params.=4.4 M, pre-training (pt)=true, Tuning=adaptation tuning2025.0910——
Whisper-small + adapt. w/ LoRA#Train. Params.=4.4 M, pre-training (pt)=true, Tuning=adaptation tuning2025.0910.2——
Whisper-small + ft decoder-only#Train. Params.=153.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0910.3——
Whisper-large-v3pre-training (pt)=true2025.0910.3——
Conformer + LLM GER#Train. Params.=48.3 M, pre-training (pt)=false2025.0911——
E-Branchformer + CAMEL#Train. Params.=55.3 M, pre-training (pt)=false2025.0911.4——
ConExtBiMamba*#Train. Params.=54.6 M, pre-training (pt)=false2025.0911.5——
Conformer + LAL#Train. Params.=48.3 M, pre-training (pt)=false2025.0911.7——
Conformer + XLS-R-0.3B#Train. Params.=48.3 M, pre-training (pt)=true2025.0911.8——
Conformer + LPB#Train. Params.=79.9 M, pre-training (pt)=false2025.0911.8——
Conformer + ILB#Train. Params.=79.9 M, pre-training (pt)=false2025.0911.8——
E-Branchformer#Train. Params.=39.9 M, pre-training (pt)=false2025.0911.8——
Branchformer#Train. Params.=39.0 M, pre-training (pt)=false2025.0911.9——
Conformer + WavLM-large#Train. Params.=48.3 M, pre-training (pt)=true2025.0912——
Whisper-mediumpre-training (pt)=true2025.0912.1——
Conformer#Train. Params.=48.3 M, pre-training (pt)=false2025.0912.8——
Whisper-small + ft full model + w/ SPT*#Train. Params.=240.7 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0912.8——
Transformer#Train. Params.=29.8 M, pre-training (pt)=false2025.0913.1——
Whisper-smallpre-training (pt)=true2025.0924.9——