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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.