Speech-to-Text on Multilingual Speech-to-Text dataset Gender groups
37.25WER (Male)SamaVaani
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SamaVaaniBase Model=Gemma3n2026.06 | 37.25 | 34.83 | -19.23 | |
| SamaVaaniBase Model=OmniLingual2026.06 | 37.25 | 35.48 | -19.07 | |
| FTCTCBase Model=OmniLingual2026.06 | 39.76 | 39.08 | -20.05 | |
| FTCTCBase Model=Gemma3n2026.06 | 40.71 | 38.33 | -20.95 | |
| FTCLBase Model=Gemma3n2026.06 | 41.77 | 39.41 | -21.48 | |
| FTCLBase Model=OmniLingual2026.06 | 42.31 | 42.31 | -22.46 | |
| FTPSBase Model=Gemma3n2026.06 | 44.23 | 42.04 | -22.66 | |
| FTPSBase Model=OmniLingual2026.06 | 50 | 42.86 | -26.79 | |
| FTStdBase Model=OmniLingual2026.06 | 53.19 | 48.37 | -27.8 | |
| FTStdBase Model=Gemma3n2026.06 | 53.33 | 48.53 | -27.87 | |
| BaseBase Model=Gemma3n2026.06 | 69.23 | 71.43 | -36.27 | |
| BaseBase Model=OmniLingual2026.06 | 76.55 | 74.62 | -43.76 |