Automatic Speech Recognition on Multilingual LibriSpeech (MLS)
-2.9NL ScoreLoRA
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| LoRAr=256, Base Model=OWSM-0.1B2026.01 | -2.9 | 18.4 | 6.8 | 7.9 | 15.3 | 38.6 | 28 | 19.2 | |
| DoRAr=256, Base Model=OWSM-0.1B2026.01 | -3 | 42.8 | 19.9 | 20.3 | 33.7 | 71 | 44.5 | 38.7 | |
| SSVDp=100%, Base Model=OWSM-0.1B2026.01 | -4.5 | 38 | 10.1 | 12.7 | 18.8 | 50.3 | 35 | 27.5 | |
| SSVD-OOp=40%, l=256, Base Model=OWSM-0.1B2026.01 | -5 | 24.7 | 6.7 | 7.9 | 12.6 | 31.5 | 22.9 | 17.7 | |
| SSVD-OOp=50%, l=256, Base Model=OWSM-0.1B2026.01 | -5.1 | 30 | 8.3 | 10 | 16.8 | 42.4 | 28 | 22.6 | |
| Fine-tuning FF layersBase Model=OWSM-0.1B2026.01 | -5.6 | 37.3 | 10.3 | 12.7 | 19.9 | 51.8 | 28.5 | 26.8 | |
| SSVD-OOp=100%, l=256, Base Model=OWSM-0.1B2026.01 | -6.1 | 56.3 | 20.6 | 19.3 | 31.7 | 67.9 | 44.8 | 40.1 | |
| Full fine-tuningBase Model=OWSM-0.1B2026.01 | -8.4 | 85.3 | 71.5 | 70.1 | 66.2 | 100.9 | 74.7 | 78.1 |