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Table 6 Average values of the obtained results of Algorithm 2 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

Distance measure

ΔSIR

SDR

 

M 2

M 3

M 4

M 2

M 3

M 4

Bhattacharyya coefficient

2.21

3.23

3.54

5.53

3.65

1.10

Kullback-Leibler divergence

3.78

5.23

5.47

5.97

4.2

1.46

Log of the maximum ratio

3.52

4.99

4.14

6.32

4.12

1.14

Jensen-Rényi divergence, α = 0.5

3.83

4.93

5.77

6.19

3.92

1.64

Jensen-Rényi divergence, α = 1

4.00

5.04

5.45

6.39

4.12

1.44

Jensen-Rényi divergence, α = 2

2.84

4.42

5.34

6.04

4.14

1.41

Mod. Jensen-Rényi divergence, α = 0.5

7.31

8.14

8.53

8.01

5.63

2.44

Mod. Jensen-Rényi divergence, α = 1

7.35

8.15

8.61

8.07

5.67

2.47

Mod. Jensen-Rényi divergence, α = 2

7.40

8.27

8.43

8.12

5.76

2.50

Mutual information

7.31

8.50

8.37

8.18

6.00

2.60

  1. M i stands for the average Δ SIR/SDR value calculated over all mixtures of N = i signals. The best performance for each case M i is marked in bold.