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ResearchFormerly WizWand

Automatic Speech Recognition on SEAME SGE (dev)

14.9MERWhisper-large-v3 + ft full model
12.70827.50442.357.096Sep 29, 2025Nov 14, 2025Dec 31, 2025Feb 16, 2026Apr 3, 2026May 20, 2026Jul 6, 2026
Updated 3mo ago

Evaluation results

MethodLinks
Whisper-large-v3 + ft full model#Train. Params.=1541.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0914.9
Whisper-Largev3Real Duration (h)=100, TTS-R Duration (h)=1002026.0116
Whisper-medium + ft full model#Train. Params.=762.3 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0916.5
Whisper-Largev3Real Duration (h)=100, TTS-O Duration (h)=1002026.0117
Whisper-Largev3Real Duration (h)=1002026.0117.8
Whisper-small + ft full model + w/ FA-LID-LB#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0918.3
Whisper-small + ft full model + w/ FA-LID-UB#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0918.3
Whisper-small + ft full model + w/ LAL#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0918.3
Whisper-small + ft full model#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0918.4
Whisper-Largev3TTS-R Duration (h)=2002026.0118.5
Whisper-Largev3TTS-O Duration (h)=1002026.0118.6
Whisper-small + adapt. w/ LoRA#Train. Params.=4.4 M, pre-training (pt)=true, Tuning=adaptation tuning2025.0918.7
Whisper-small + ft full model + w/ SPT*#Train. Params.=240.7 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0918.7
Whisper-small + ft full model + w/ CTC-LID#Train. Params.=240.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0918.8
Subsequent Iterative, M2Iteration=22026.0718.89
Whisper-small + adapt. w/ Bi-LoRA#Train. Params.=4.4 M, pre-training (pt)=true, Tuning=adaptation tuning2025.0919.3
First Iterative, M1Iteration=12026.0719.47
Whisper-small + ft encoder-only#Train. Params.=87.0 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0919.5
Conformer + XLS-R-0.3B#Train. Params.=48.3 M, pre-training (pt)=true2025.0921.6
Conformer + WavLM-large#Train. Params.=48.3 M, pre-training (pt)=true2025.0921.9
Conformer + LLM GER#Train. Params.=48.3 M, pre-training (pt)=false2025.0922
Whisper-Largev3TTS-R Duration (h)=1002026.0122.4
E-Branchformer + CAMEL#Train. Params.=55.3 M, pre-training (pt)=false2025.0922.8
Conformer + LPB#Train. Params.=79.9 M, pre-training (pt)=false2025.0922.9
Conformer + ILB#Train. Params.=79.9 M, pre-training (pt)=false2025.0923.2
Branchformer#Train. Params.=39.0 M, pre-training (pt)=false2025.0923.2
E-Branchformer#Train. Params.=39.9 M, pre-training (pt)=false2025.0923.2
Conformer#Train. Params.=48.3 M, pre-training (pt)=false2025.0923.3
Conformer + LAL#Train. Params.=48.3 M, pre-training (pt)=false2025.0923.3
ConExtBiMamba*#Train. Params.=54.6 M, pre-training (pt)=false2025.0923.4
Transformer#Train. Params.=29.8 M, pre-training (pt)=false2025.0924.5
Whisper-small + ft decoder-only#Train. Params.=153.6 M, pre-training (pt)=true, Tuning=full-parameter fine-tuning2025.0925.8
Baseline2026.0727.18
Whisper-large-v3pre-training (pt)=true2025.0953.3
Initial bilingual, M0Iteration=02026.0754.12
Whisper-mediumpre-training (pt)=true2025.0962.6
Private model2026.0764.53
Whisper-smallpre-training (pt)=true2025.0969.7