Speech Recognition On Easycom
Métriques
WER (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | WER (%) | Paper Title | Repository |
|---|---|---|---|
| Demucs (bf) | 69.8 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
| DAJA (MVDR,HMA,1000) (Overlapped Speech) | 62.36 | Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments | - |
| ReVISE (ch2) | 55.0 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
| ReVISE (bf) | 52.1 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
| Demucs (ch2) | 86.8 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
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