Speech Recognition On Common Voice Spanish
Metriken
Test WER
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Test WER |
|---|---|
| nemo-a-toolkit-for-building-ai-applications | 5.5% |
| scribosermo-fast-speech-to-text-models-for | 10.5% |
| scribosermo-fast-speech-to-text-models-for | 5.68% |
| nemo-a-toolkit-for-building-ai-applications | 6.9% |
| voxpopuli-a-large-scale-multilingual-speech | 10.0% |
| scribosermo-fast-speech-to-text-models-for | 7.46 % |
| robust-speech-recognition-via-large-scale-1 | 5.6% |
| scribosermo-fast-speech-to-text-models-for | 10.0% |