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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Speech Separation On Wham

평가 지표

SI-SDRi

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	SI-SDRi	Paper Title	Repository
TDANet Large	15.2	An efficient encoder-decoder architecture with top-down attention for speech separation	-
WHYV	12.964	An alternative Approach in Voice Extraction	-
MossFormer (L) + DM	17.3	MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions	-
TDANet	14.8	An efficient encoder-decoder architecture with top-down attention for speech separation	-
MossFormer2	18.1	MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation	-
SepReformer-L + DM	18.4	Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation	-

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Speech Separation On Wham | SOTA | HyperAI초신경