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Speech Separation
Speech Separation On Libri2Mix
Speech Separation On Libri2Mix
Metrics
SI-SDRi
Results
Performance results of various models on this benchmark
Columns
Model Name
SI-SDRi
Paper Title
Repository
TDANet
16.9
An efficient encoder-decoder architecture with top-down attention for speech separation
MossFormer2 (w/o DM)
21.7
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
MossFormer2 (w speed perturb)
22.2
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
Conv-Tasnet (Libri1Mix speech enhancement pre-trained)
14.1
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
TF-Locoformer (M)
22.1
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement
WHYV
17.5
An alternative Approach in Voice Extraction
-
TDANet Large
17.4
An efficient encoder-decoder architecture with top-down attention for speech separation
Conv-Tasnet (Libri1Mix speech enhancement multi-task)
13.7
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
Conv-Tasnet
13.2
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
Separate And Diffuse
21.5
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
-
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