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Speech Enhancement On Easycom

评估指标

Audio Quality MOS

评测结果

各个模型在此基准测试上的表现结果

模型名称
Audio Quality MOS
Paper TitleRepository
ReVISE (ch2)4.19ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement-
Demucs (bf)2.39ReVISE: 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)4.11ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement-
Demucs (ch2)2.95ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement-
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