Speech Recognition On Common Voice 2
Métriques
Test WER
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Test WER | Paper Title | Repository |
|---|---|---|---|
| SpeechStew (1B) | 10.8% | SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network | - |
| ConformerXXL-P + Downstream NST | 7.7% | BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition | - |
0 of 2 row(s) selected.