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Models/BS-RoFormer (L=6, OA)

BS-RoFormer (L=6, OA)

Reported on 10 benchmarks across 2 tasks

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

Music5 results

  • Music Source SeparationonMUSDB18-HQ
    SDR (avg)
    9.8
    best: 11.99 (BS-RoFormer (L=12, OA))
  • Music Source SeparationonMUSDB18-HQ
    SDR (bass)
    11.31
    best: 13.32 (BS-RoFormer (L=12, OA))
  • Music Source SeparationonMUSDB18-HQ
    SDR (drums)
    9.49
    best: 12.91 (BS-RoFormer (L=12, OA))
  • Music Source SeparationonMUSDB18-HQ
    SDR (others)
    7.73
    best: 9.01 (BS-RoFormer (L=12, OA))
  • Music Source SeparationonMUSDB18-HQ
    SDR (vocals)
    10.66
    best: 12.72 (BS-RoFormer (L=12, OA))

Methodology5 results

  • 2D ClassificationonMUSDB18-HQ
    SDR (avg)
    9.8
    best: 11.99 (BS-RoFormer (L=12, OA))
  • 2D ClassificationonMUSDB18-HQ
    SDR (bass)
    11.31
    best: 13.32 (BS-RoFormer (L=12, OA))
  • 2D ClassificationonMUSDB18-HQ
    SDR (drums)
    9.49
    best: 12.91 (BS-RoFormer (L=12, OA))
  • 2D ClassificationonMUSDB18-HQ
    SDR (others)
    7.73
    best: 9.01 (BS-RoFormer (L=12, OA))
  • 2D ClassificationonMUSDB18-HQ
    SDR (vocals)
    10.66
    best: 12.72 (BS-RoFormer (L=12, OA))