Speech Separation on WHAMR!

Metric: Number of parameters (M) (higher is better)

LeaderboardDataset

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#	Model↕	Number of parameters (M)▼	Extra Data	Paper	Date↕	Code
1	TF-Locoformer (M)	15	No	TF-Locoformer: Transformer with Local Modeling b...	2024-08-06	Code
2	TF-Locoformer (S)	5	No	TF-Locoformer: Transformer with Local Modeling b...	2024-08-06	Code
3	Deformable TCN + Dynamic Mixing	3.6	No	Deformable Temporal Convolutional Networks for M...	2022-10-27	Code
4	Deformable TCN + Shared Weights + Dynamic Mixing	1.3	No	Deformable Temporal Convolutional Networks for M...	2022-10-27	Code

#1TF-Locoformer (M)SOTA
15
Number of parameters (M)· 2024-08-06
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement Code
#2TF-Locoformer (S)
5
Number of parameters (M)· 2024-08-06
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement Code
#3Deformable TCN + Dynamic MixingSOTA
3.6
Number of parameters (M)· 2022-10-27
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation Code
#4Deformable TCN + Shared Weights + Dynamic Mixing
1.3
Number of parameters (M)· 2022-10-27
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation Code