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Models/STL2

STL2

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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)· 2018-06-08
    3.23
    best: 9.2 (Sparse HT Demucs (fine tuned))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • Music Source SeparationonMUSDB18
    SDR (bass)· 2018-06-08
    3.21
    best: 10.47 (Sparse HT Demucs (fine tuned))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • Music Source SeparationonMUSDB18
    SDR (drums)· 2018-06-08
    4.22
    best: 10.83 (Sparse HT Demucs (fine tuned))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • Music Source SeparationonMUSDB18
    SDR (other)· 2018-06-08
    2.25
    best: 7.08 (Band-Split RNN (semi-sup.))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • Music Source SeparationonMUSDB18
    SDR (vocals)· 2018-06-08
    3.25
    best: 10.47 (Band-Split RNN (semi-sup.))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185

Methodology5 results

  • 2D ClassificationonMUSDB18
    SDR (avg)· 2018-06-08
    3.23
    best: 9.2 (Sparse HT Demucs (fine tuned))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • 2D ClassificationonMUSDB18
    SDR (bass)· 2018-06-08
    3.21
    best: 10.47 (Sparse HT Demucs (fine tuned))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • 2D ClassificationonMUSDB18
    SDR (drums)· 2018-06-08
    4.22
    best: 10.83 (Sparse HT Demucs (fine tuned))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • 2D ClassificationonMUSDB18
    SDR (other)· 2018-06-08
    2.25
    best: 7.08 (Band-Split RNN (semi-sup.))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185
  • 2D ClassificationonMUSDB18
    SDR (vocals)· 2018-06-08
    3.25
    best: 10.47 (Band-Split RNN (semi-sup.))
    SOTA
    Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationarXiv:1806.03185