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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  4. Speech Enhancement On Easycom

Speech Enhancement On Easycom

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
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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한국어

소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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TVM 한국어Apache TVMOpenBayes

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