Papers › Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement
Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement
Junyu Wang, Zizhen Lin, Tianrui Wang, Meng Ge, Longbiao Wang, Jianwu Dang
In recent speech enhancement (SE) research, transformer and its variants have emerged as the predominant methodologies. However, the quadratic complexity of the self-attention mechanism imposes certain limitations on practical deployment. Mamba, as a novel state-space model (SSM), has gained widespread application in natural language processing and computer vision due to its strong capabilities in modeling long sequences and relatively low computational complexity. In this work, we introduce Mamba-SEUNet, an innovative architecture that integrates Mamba with U-Net for SE tasks. By leveraging bidirectional Mamba to model forward and backward dependencies of speech signals at different resolutions, and incorporating skip connections to capture multi-scale information, our approach achieves state-of-the-art (SOTA) performance. Experimental results on the VCTK+DEMAND dataset indicate that Mamba-SEUNet attains a PESQ score of 3.59, while maintaining low computational complexity. When combined with the Perceptual Contrast Stretching technique, Mamba-SEUNet further improves the PESQ score to 3.73.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Speech Enhancement | VoiceBank + DEMAND | Mamba-SEUNet L (+PCS) | CBAK | 3.67 | #3 of 42 | Archive leaderboard | report |
| Speech Enhancement | VoiceBank + DEMAND | Mamba-SEUNet L (+PCS) | COVL | 4.40 | #3 of 42 | Archive leaderboard | report |
| Speech Enhancement | VoiceBank + DEMAND | Mamba-SEUNet L (+PCS) | CSIG | 4.82 | #3 of 42 | Archive leaderboard | report |
| Speech Enhancement | VoiceBank + DEMAND | Mamba-SEUNet L (+PCS) | PESQ (wb) | 3.73 | #3 of 42 | Archive leaderboard | report |
| Speech Enhancement | VoiceBank + DEMAND | Mamba-SEUNet L (+PCS) | Para. (M) | 6.28 | #3 of 42 | Archive leaderboard | report |
| Speech Enhancement | VoiceBank + DEMAND | Mamba-SEUNet L (+PCS) | STOI | 96 | #3 of 42 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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