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Models/Conv-TasNet (extra)

Conv-TasNet (extra)

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Music4 results

  • Music Source SeparationonMUSDB18
    SDR (avg)· uses extra data· 2018-09-20
    6.32
    best: 9.2 (Sparse HT Demucs (fine tuned))
    SOTA
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454
  • Music Source SeparationonMUSDB18
    SDR (bass)· uses extra data· 2018-09-20
    7
    best: 10.47 (Sparse HT Demucs (fine tuned))
    SOTA
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454
  • Music Source SeparationonMUSDB18
    SDR (drums)· uses extra data· 2018-09-20
    7.11
    best: 10.83 (Sparse HT Demucs (fine tuned))
    SOTA
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454
  • Music Source SeparationonMUSDB18
    SDR (vocals)· uses extra data· 2018-09-20
    6.74
    best: 10.47 (Band-Split RNN (semi-sup.))
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454

Methodology4 results

  • 2D ClassificationonMUSDB18
    SDR (avg)· uses extra data· 2018-09-20
    6.32
    best: 9.2 (Sparse HT Demucs (fine tuned))
    SOTA
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454
  • 2D ClassificationonMUSDB18
    SDR (bass)· uses extra data· 2018-09-20
    7
    best: 10.47 (Sparse HT Demucs (fine tuned))
    SOTA
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454
  • 2D ClassificationonMUSDB18
    SDR (drums)· uses extra data· 2018-09-20
    7.11
    best: 10.83 (Sparse HT Demucs (fine tuned))
    SOTA
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454
  • 2D ClassificationonMUSDB18
    SDR (vocals)· uses extra data· 2018-09-20
    6.74
    best: 10.47 (Band-Split RNN (semi-sup.))
    Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech SeparationarXiv:1809.07454