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Table 1 Speech denoising SDR scores

From: Blind source separation with optimal transport non-negative matrix factorization

  OT OT + OT filter KL IS E
  k     k     k     k     k    
  5 10 15 20 5 10 15 20 5 10 15 20 5 10 15 20 5 10 15 20
Cicada 7.7 8.8 8.9 8.4 7.3 8.0 8.6 8.1 7.7 7.9 7.9 7.9 7.7 7.9 7.6 7.7 7.9 8.0 7.9 7.5
  ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1 ± 0.1
Drums 1.3 3.6 2.7 2.8 1.5 3.8 2.7 2.9 2.0 3.3 2.6 3.1 0.5 0.9 0.6 1.0 1.9 3.4 2.0 2.0
  ± 0.6 ± 0.7 ± 0.7 ± 0.5 ± 0.5 ± 0.6 ± 0.7 ± 0.6 ± 0.3 ± 0.7 ± 0.4 ± 0.4 ± 0.2 ± 0.1 ± 0.1 ± 0.0 ± 0.6 ± 0.5 ± 0.4 ± 0.3
Sea 0.0 1.5 3.3 1.8 0.0 1.8 3.3 1.9 1.6 3.4 4.6 4.3 1.6 3.0 3.7 3.5 3.5 4.1 4.4 3.8
  ± 0.9 ± 0.7 ± 0.5 ± 1.1 ± 0.8 ± 0.6 ± 0.5 ± 1.0 ± 1.3 ± 1.0 ± 0.8 ± 0.7 ± 0.8 ± 0.6 ± 0.6 ± 0.5 ± 1.1 ± 0.9 ± 0.9 ± 0.6
Subway 2.0 2.8 1.5 2.2 1.8 2.8 1.6 2.3 1.8 2.0 1.9 1.8 2.0 1.4 1.7 2.1 1.5 1.8 1.7 1.7
  ± 1.1 ± 0.9 ± 0.9 ± 1.2 ± 1.0 ± 1.0 ± 0.9 ± 1.2 ± 1.3 ± 1.6 ± 0.9 ± 0.9 ± 0.6 ± 0.3 ± 0.3 ± 0.4 ± 1.9 ± 1.2 ± 1.0 ± 0.9
  1. The bold figure in each line indicates the best score for a specific noise