Skip to main content

Table 7 Average values of the obtained results in terms of Δ SIR and SDR for each distance measure

From: Using information theoretic distance measures for solving the permutation problem of blind source separation of speech signals

Algorithms Δ SIR SDR
  M2 M3 M4 M2 M3 M4
Proposed Algorithm 1 with Jensen-Rényi div., α = 2 7.90 7.28 8.98 8.12 4.87 2.78
Proposed Algorithm 2 with Jensen-Rényi div., α = 0.5 7.31 8.14 8.53 8.01 5.63 2.44
Proposed Algorithm 1 with mutual information 7.35 7.66 8.15 7.79 5.23 2.59
Proposed Algorithm 2 with mutual information 7.31 8.50 8.37 8.18 6.00 2.60
Permutation correction based on phase difference [50] 7.38 6.77 7.99 8.11 4.87 2.69
Cross-correlation [4] 7.44 7.61 7.76 8.16 5.35 2.63
Power ratio [51] 7.90 7.86 8.53 8.37 5.42 2.68
Continuity of the impulse response of the calculated mixing system [15] 3.93 1.83 2.14 5.67 2.98 0.89
Amplitutde modulation decorrelation [3] 6.89 7.55 8.02 7.83 5.24 2.64
Cross-cumulants [4] 3.10 2.16 2.42 5.53 2.80 0.61
Continuity of the mixing system [17] -0.33 0.65 0.93 4.37 2.52 0.77
Minimum of the L1-norm of the mixing system [16] 0.04 0.65 1.41 3.94 3.32 1.02
p-Norm distance (p = 1) [8] 6.05 7.60 7.68 7.37 5.51 2.38
Clustering of the amplitudes [9] 6.93 5.17 5.22 8.00 4.56 1.77
Likelihood ratio criterion between the frequency bins [21] 7.47 8.33 8.74 8.07 6.17 2.67
Basis vector clustering [19] 7.08 5.40 6.49 7.63 4.32 1.92
Minima of the beampattern [10] 7.40 3.74 2.81 7.74 3.24 0.82
Cosine distance [18] 5.33 4.78 4.56 6.76 4.26 1.74
GGD parameter comparison and cross-correlation [23] 0.45 4.64 6.39 4.13 3.71 1.77
  1. M i stands for the average Δ SIR/SDR value calculated over all mixtures of N = i signals, (Tables 1, 2, 3, and 4).
  2. The best performance for each case M i is marked in bold.