Speech Enhancement On Easycom
Metrics
Audio Quality MOS
Results
Performance results of various models on this benchmark
Model Name | Audio Quality MOS | Paper Title | Repository |
|---|---|---|---|
| ReVISE (ch2) | 4.19 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
| Demucs (bf) | 2.39 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
| MaxDI (Baseline) | - | EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments | |
| DAJA (MVDR,HMA,1000) (Overlapped Speech) | - | Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments | - |
| ReVISE (bf) | 4.11 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
| Demucs (ch2) | 2.95 | ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement | - |
0 of 6 row(s) selected.