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Table 2 Speech denoising SIR 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 8.5 10.0 10.2 9.6 8.0 8.8 9.7 9.1 8.5 8.8 8.8 8.9 8.5 8.8 8.5 8.6 8.7 8.8 8.7 8.4
  ± 0.1 ± 0.0 ± 0.1 ± 0.1 ± 0.1 ± 0.0 ± 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 1.9 5.5 3.6 3.8 2.1 5.6 3.6 3.9 2.8 4.2 3.2 3.6 0.7 1.1 0.7 1.1 3.1 4.7 2.6 2.5
  ± 0.4 ± 0.7 ± 0.6 ± 0.6 ± 0.3 ± 0.6 ± 0.6 ± 0.6 ± 0.2 ± 0.6 ± 0.4 ± 0.4 ± 0.2 ± 0.1 ± 0.1 ± 0.0 ± 0.6 ± 0.5 ± 0.4 ± 0.3
Sea 1.4 2.8 4.6 3.0 1.3 3.0 4.6 3.0 4.7 6.2 6.7 6.2 4.2 5.0 5.7 5.4 10.1 8.9 8.1 5.5
  ± 0.9 ± 0.6 ± 0.4 ± 1.0 ± 0.8 ± 0.6 ± 0.4 ± 1.0 ± 1.0 ± 0.8 ± 0.6 ± 0.5 ± 0.3 ± 0.5 ± 0.6 ± 0.4 ± 1.0 ± 0.6 ± 0.6 ± 0.4
Subway 6.2 6.4 3.1 4.7 5.5 5.9 3.0 4.7 5.2 4.5 3.1 3.1 4.0 2.2 2.1 2.9 5.3 4.8 4.2 3.4
  ± 1.3 ± 0.9 ± 1.0 ± 1.2 ± 1.0 ± 0.9 ± 1.0 ± 1.2 ± 1.6 ± 1.7 ± 0.9 ± 0.9 ± 0.8 ± 0.4 ± 0.4 ± 0.5 ± 2.3 ± 1.3 ± 1.0 ± 0.9
  1. The bold figure in each line indicates the best score for a specific noise