Automatic Speech Recognition on MLC-SLM 2025 (test)
21.6WERmHuBERT-CTC (baseline)
Evaluation results
| Method | Links | |
|---|---|---|
| mHuBERT-CTC (baseline)Params(M)=97, TrainingData=MLC-500h, language-known=false, inference_type=single2026.01 | 21.6 | |
| mHuBERT-CTC-LIDLoRAParams(M)=107, TrainingData=MLC-500h, language-known=true, inference_type=single2026.01 | 23 | |
| mHuBERT-CTC-HLoRAParams(M)=102, TrainingData=MLC-500h, language-known=true, inference_type=single2026.01 | 24 | |
| mHuBERT-CTC-HLoRAParams(M)=102, TrainingData=MLC-500h, language-known=false, inference_type=single2026.01 | 24.7 | |
| mHuBERT-CTC-LIDLoRAParams(M)=107, TrainingData=MLC-500h, language-known=false, inference_type=double2026.01 | 24.8 | |
| Whisper-smallParams(M)=244, TrainingData=680,000h, language-known=false, inference_type=single2026.01 | 28.6 | |
| Whisper-baseParams(M)=74, TrainingData=680,000h, language-known=false, inference_type=single2026.01 | 35.4 | |
| mHuBERT-CTC (baseline)Params(M)=97, TrainingData=MSR-1500h, language-known=false, inference_type=single2026.01 | 43.7 |