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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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한국어
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  1. 홈
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  3. 음성 분리
  4. Speech Separation On Libri2Mix

Speech Separation On Libri2Mix

평가 지표

SI-SDRi

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
SI-SDRi
Paper TitleRepository
TDANet16.9An efficient encoder-decoder architecture with top-down attention for speech separation-
MossFormer2 (w/o DM)21.7MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation-
MossFormer2 (w speed perturb)22.2MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation-
Conv-Tasnet (Libri1Mix speech enhancement pre-trained)14.1Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training-
TF-Locoformer (M)22.1TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement-
WHYV17.5An alternative Approach in Voice Extraction-
TDANet Large17.4An efficient encoder-decoder architecture with top-down attention for speech separation-
Conv-Tasnet (Libri1Mix speech enhancement multi-task)13.7Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training-
Conv-Tasnet13.2Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training-
Separate And Diffuse21.5Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation-
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한국어

소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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