Speech Recognition On Common Voice French
Metriken
Test WER
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Test WER |
|---|---|
| scribosermo-fast-speech-to-text-models-for | 12.1% |
| scribosermo-fast-speech-to-text-models-for | 8.13% |
| nemo-a-toolkit-for-building-ai-applications | 9.16% |
| scribosermo-fast-speech-to-text-models-for | 10.19 % |
| voxpopuli-a-large-scale-multilingual-speech | 9.6% |
| nemo-a-toolkit-for-building-ai-applications | 9.63% |
| robust-speech-recognition-via-large-scale-1 | 13.9% |
| scribosermo-fast-speech-to-text-models-for | 11.0% |