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Models/LaSAFT+GPoCM

LaSAFT+GPoCM

Reported on 10 benchmarks across 2 tasks · 1 paper

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

Music5 results

  • Music Source SeparationonMUSDB18
    SDR (avg)· 2020-10-22
    5.88
    best: 9.2 (Sparse HT Demucs (fine tuned))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • Music Source SeparationonMUSDB18
    SDR (bass)· 2020-10-22
    5.63
    best: 10.47 (Sparse HT Demucs (fine tuned))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • Music Source SeparationonMUSDB18
    SDR (drums)· 2020-10-22
    5.68
    best: 10.83 (Sparse HT Demucs (fine tuned))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • Music Source SeparationonMUSDB18
    SDR (other)· 2020-10-22
    4.87
    best: 7.08 (Band-Split RNN (semi-sup.))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • Music Source SeparationonMUSDB18
    SDR (vocals)· 2020-10-22
    7.33
    best: 10.47 (Band-Split RNN (semi-sup.))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631

Methodology5 results

  • 2D ClassificationonMUSDB18
    SDR (avg)· 2020-10-22
    5.88
    best: 9.2 (Sparse HT Demucs (fine tuned))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • 2D ClassificationonMUSDB18
    SDR (bass)· 2020-10-22
    5.63
    best: 10.47 (Sparse HT Demucs (fine tuned))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • 2D ClassificationonMUSDB18
    SDR (drums)· 2020-10-22
    5.68
    best: 10.83 (Sparse HT Demucs (fine tuned))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • 2D ClassificationonMUSDB18
    SDR (other)· 2020-10-22
    4.87
    best: 7.08 (Band-Split RNN (semi-sup.))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631
  • 2D ClassificationonMUSDB18
    SDR (vocals)· 2020-10-22
    7.33
    best: 10.47 (Band-Split RNN (semi-sup.))
    LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source SeparationarXiv:2010.11631