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Table 2 The average PESQ scores 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

1.32

1.66

2.00

2.40

1.85

Noisy

1.32

1.66

2.00

2.40

1.85

CRN

1.94

2.55

2.78

3.10

2.59

DCN

1.89

2.46

2.75

3.06

2.54

SPP-MMSE

2.00

2.59

2.83

3.19

2.65

SPP-MMSE

1.90

2.48

2.79

3.12

2.57

SPP-proposed-1

2.03

2.70

2.94

3.28

2.74

SPP-proposed-1

1.99

2.58

2.93

3.23

2.68

SPP-proposed-2

2.03

2.68

2.92

3.27

2.73

SPP-proposed-2

2.01

2.57

2.90

3.22

2.68

SPP-proposed-3

2.03

2.69

2.90

3.23

2.71

SPP-proposed-3

1.96

2.57

2.86

3.19

2.65

GRN

1.96

2.57

2.75

2.94

2.56

DARCN

1.97

2.65

2.86

3.15

2.66

SPP-MMSE

1.95

2.59

2.77

3.00

2.58

SPP-MMSE

1.96

2.70

2.90

3.22

2.70

SPP-proposed-1

2.03

2.71

2.89

3.12

2.69

SPP-proposed-1

2.00

2.80

3.00

3.33

2.78

SPP-proposed-2

2.03

2.71

2.86

3.11

2.68

SPP-proposed-2

1.96

2.74

2.95

3.27

2.73

SPP-proposed-3

2.01

2.70

2.85

3.06

2.66

SPP-proposed-3

1.99

2.80

2.96

3.31

2.77