OpenCodePapers
speech-separation-on-libri2mix
Speech Separation
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Paper
Code
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Number of parameters (M)
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ModelName
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MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
✓ Link
22.2
MossFormer2 (w speed perturb)
2023-12-19
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement
✓ Link
22.1
22.2
15
TF-Locoformer (M)
2024-08-06
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
✓ Link
21.7
MossFormer2 (w/o DM)
2023-12-19
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
21.5
Separate And Diffuse
2023-01-25
Wanna hear your voice? A sample is all we need!
17.5
17.2458
WHYV
2024-10-01
An efficient encoder-decoder architecture with top-down attention for speech separation
✓ Link
17.4
TDANet Large
2022-09-30
An efficient encoder-decoder architecture with top-down attention for speech separation
✓ Link
16.9
TDANet
2022-09-30
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
✓ Link
14.1
14.6
Conv-Tasnet (Libri1Mix speech enhancement pre-trained)
2020-10-29
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
✓ Link
13.7
14.1
Conv-Tasnet (Libri1Mix speech enhancement multi-task)
2020-10-29
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
✓ Link
13.2
13.6
Conv-Tasnet
2020-10-29