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Table 3 The average segSNRs with and without postfiltering for the typical DNN-based speech enhancement methods

From: Low-complexity artificial noise suppression methods for deep learning-based speech enhancement algorithms

SNR/dB

− 5

0

5

10

Aver.

SNR/dB

− 5

0

5

10

Aver.

Noisy

−7.00

−4.06

−0.85

2.69

−2.31

Noisy

−7.00

−4.06

−0.85

2.69

−2.31

CRN

−0.03

3.61

5.62

9.18

4.60

DCN

−0.28

3.25

5.68

8.82

4.37

SPP-MMSE

0.46

4.10

6.14

9.71

5.10

SPP-MMSE

0.26

3.65

6.14

9.40

4.86

SPP-proposed-1

1.34

4.50

6.75

9.95

5.64

SPP-proposed-1

1.34

4.28

6.79

9.70

5.53

SPP-proposed-2

1.27

4.38

6.60

9.76

5.50

SPP-proposed-2

1.30

4.15

6.59

9.50

5.39

SPP-proposed-3

1.25

4.62

6.68

10.05

5.65

SPP-proposed-3

1.32

4.29

6.64

9.76

5.50

GRN

0.11

3.99

6.02

9.28

4.85

DARCN

0.67

3.99

6.13

9.10

4.97

SPP-MMSE

0.57

4.28

6.33

9.62

5.20

SPP-MMSE

1.10

4.46

6.48

9.37

5.35

SPP-proposed-1

1.66

4.79

6.97

9.90

5.83

SPP-proposed-1

1.73

4.66

6.69

9.40

5.62

SPP-proposed-2

1.53

4.67

6.80

9.76

5.69

SPP-proposed-2

1.35

3.98

5.87

8.34

4.89

SPP-proposed-3

1.57

4.91

6.87

9.93

5.82

SPP-proposed-3

1.73

4.85

6.75

9.60

5.73