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Models/MossFormer (L) + DM

MossFormer (L) + DM

Reported on 6 benchmarks across 1 task · 1 paper · 5 SOTA

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

Speech6 results

  • Speech SeparationonWHAMR!
    SI-SDRi· 2023-02-23
    16.3
    best: 18.5 (TF-Locoformer (M))
    SOTA
    MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-AttentionsarXiv:2302.11824
  • Speech SeparationonWSJ0-2mix
    MACs (G)· 2023-02-23
    86.1
    best: 155.5 (SepReformer-L)
    SOTA
    MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-AttentionsarXiv:2302.11824
  • Speech SeparationonWSJ0-2mix
    Number of parameters (M)· 2023-02-23
    42.1
    best: 59.4 (SepReformer-L)
    SOTA
    MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-AttentionsarXiv:2302.11824
  • Speech SeparationonWSJ0-3mix
    SI-SDRi· 2023-02-23
    21.2
    best: 23.7 (SepTDA)
    SOTA
    MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-AttentionsarXiv:2302.11824
  • Speech SeparationonWHAM!
    SI-SDRi· 2023-02-23
    17.3
    best: 18.4 (SepReformer-L + DM)
    SOTA
    MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-AttentionsarXiv:2302.11824
  • Speech SeparationonWSJ0-2mix
    SI-SDRi· 2023-02-23
    22.8
    best: 25.1 (TF-Locoformer (L) + DM)
    MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-AttentionsarXiv:2302.11824