Automatic Speech Recognition on Valibel corpus (test)
0WERTEXT SEQ2LABEL
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| TEXT SEQ2LABELInput=Text (Gold), Parameters=110M + 39.2M, Pre-training=CamemBERT2024.06 | 0 | 0 | |
| TEXT GRAPHInput=Text (Gold), Parameters=110M + 41.4M, Pre-training=CamemBERT2024.06 | 0 | 0 | |
| TEXT HOPSInput=Text (Gold), Parameters=110M + 100M, Pre-training=CamemBERT2024.06 | 0 | 0 | |
| PIPELINE SEQ2LABELInput=Pipeline, Parameters=314M + 110M + 39.2M, Pre-training=Wav2vec2 + CamemBERT2024.06 | 30.5 | 18.2 | |
| PIPELINE GRAPHInput=Pipeline, Parameters=314M + 110M + 41.4M, Pre-training=Wav2vec2 + CamemBERT2024.06 | 30.5 | 18.2 | |
| PIPELINE HOPSInput=Pipeline, Parameters=314M + 110M + 100M, Pre-training=Wav2vec2 + CamemBERT2024.06 | 30.5 | 18.2 | |
| AUDIO GRAPHInput=Audio, Parameters=315M + 34.9M, Pre-training=Wav2vec22024.06 | 30.6 | 18.2 | |
| ORACLE SEQ2LABELInput=Oracle, Parameters=315M + 34.9M, Pre-training=Wav2vec22024.06 | 30.9 | 18.6 | |
| AUDIO SEQ2LABELInput=Audio, Parameters=315M + 34.9M, Pre-training=Wav2vec22024.06 | 31 | 18.4 | |
| ORACLE GRAPHInput=Oracle, Parameters=315M + 34.9M, Pre-training=Wav2vec22024.06 | 31.4 | 19.2 |