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Models/DISSC

DISSC

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Audio6 results

  • Voice ConversiononVCTK
    Phone Length Error (PLE)· 2022-12-19
    0.023
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • Voice ConversiononVCTK
    Total Length Error (TLE)· 2022-12-19
    0.832
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • Voice ConversiononVCTK
    Word Length Error (WLE)· 2022-12-19
    0.056
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • 1 Image, 2*2 StitchionVCTK
    Phone Length Error (PLE)· 2022-12-19
    0.023
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • 1 Image, 2*2 StitchionVCTK
    Total Length Error (TLE)· 2022-12-19
    0.832
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • 1 Image, 2*2 StitchionVCTK
    Word Length Error (WLE)· 2022-12-19
    0.056
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730

Methodology3 results

  • 2D ClassificationonVCTK
    Phone Length Error (PLE)· 2022-12-19
    0.023
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • 2D ClassificationonVCTK
    Total Length Error (TLE)· 2022-12-19
    0.832
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730
  • 2D ClassificationonVCTK
    Word Length Error (WLE)· 2022-12-19
    0.056
    SOTA
    Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised UnitsarXiv:2212.09730