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Models/MP-SENet

MP-SENet

Reported on 14 benchmarks across 1 task · 2 papers · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio14 results

  • Speech EnhancementonDeep Noise Suppression (DNS) Challenge
    PESQ-NB· 2023-08-17
    3.92
    best: 4.08 (ZipEnhancer (M))
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonDeep Noise Suppression (DNS) Challenge
    PESQ-WB· 2023-08-17
    3.62
    best: 3.81 (ZipEnhancer (M))
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVoiceBank + DEMAND
    CBAK· 2023-08-17
    3.99
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVoiceBank + DEMAND
    COVL· 2023-08-17
    4.34
    best: 4.4 (Mamba-SEUNet L (+PCS))
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVoiceBank + DEMAND
    CSIG· 2023-08-17
    4.81
    best: 4.82 (Mamba-SEUNet L (+PCS))
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVoiceBank + DEMAND
    PESQ (wb)· 2023-08-17
    3.6
    best: 3.99 (ROSE-CD(PESQ))
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVoiceBank + DEMAND
    Para. (M)· 2023-08-17
    2.26
    best: 65 (ROSE-CD(PESQ))
    SOTA
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVB-DemandEx
    ESTOI· 2025-07-01
    0.787
    best: 0.801 (MambAttention)
    MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech EnhancementarXiv:2507.00966
  • Speech EnhancementonVB-DemandEx
    Number of parameters (M)· 2025-07-01
    2.05
    best: 2.33 (MambAttention)
    MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech EnhancementarXiv:2507.00966
  • Speech EnhancementonVB-DemandEx
    PESQ (wb)· 2025-07-01
    2.935
    best: 3.026 (MambAttention)
    MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech EnhancementarXiv:2507.00966
  • Speech EnhancementonVB-DemandEx
    SI-SDR· 2025-07-01
    16.202
    best: 16.684 (MambAttention)
    MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech EnhancementarXiv:2507.00966
  • Speech EnhancementonVB-DemandEx
    SSNR· 2025-07-01
    7.641
    best: 7.933 (xLSTM-SENet)
    MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech EnhancementarXiv:2507.00966
  • Speech EnhancementonDeep Noise Suppression (DNS) Challenge
    SI-SDR-WB· 2023-08-17
    21.03
    best: 23.3 (TF-Locoformer (M))
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926
  • Speech EnhancementonVoiceBank + DEMAND
    STOI· 2023-08-17
    0.96
    best: 96.22 (ZipEnhancer (S, \lamba_6 = 0.2))
    Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementarXiv:2308.08926