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Speech Separation On Libri2Mix

Metrics

SI-SDRi

Results

Performance results of various models on this benchmark

Paper Title
MossFormer2 (w speed perturb)22.2MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
TF-Locoformer (M)22.1TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement
MossFormer2 (w/o DM)21.7MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
Separate And Diffuse21.5Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
WHYV17.5An alternative Approach in Voice Extraction
TDANet Large17.4An efficient encoder-decoder architecture with top-down attention for speech separation
TDANet16.9An efficient encoder-decoder architecture with top-down attention for speech separation
Conv-Tasnet (Libri1Mix speech enhancement pre-trained)14.1Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
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
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Speech Separation On Libri2Mix | SOTA | HyperAI