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Table 4 The recognition accuracy results (%) of the MFCC baseline, CHN, and eight forms of WS-HEQ

From: Intra-frame cepstral sub-band weighting and histogram equalization for noise-robust speech recognition

Method

 

Clean

20 dB

15 dB

10 dB

5 dB

0 dB

−5 dB

MFCC

 

99.12

95.33

86.62

65.93

36.01

14.86

8.16

CHN

 

98.97

96.30

93.89

88.48

74.81

48.10

19.94

WS-HEQ I ( 1 )

α=1.0 (S-HEQ)

99.02

97.24

94.99

90.09

77.88

52.73

22.68

 

α=0.6

98.99

97.60

95.72

91.54

80.62

55.87

23.26

WS-HEQ I ( 2 )

α=1.0

99.02

97.34

95.14

90.10

77.38

49.57

18.40

 

α=0.6

99.09

97.68

95.64

91.30

79.23

49.97

17.69

WS-HEQ I ( 3 )

α=1.0

98.96

96.89

94.45

89.02

75.55

47.78

17.26

 

α=0.5

98.99

97.51

95.71

91.59

80.59

55.95

23.88

WS-HEQ I ( 4 )

α=1.0

98.93

97.20

95.01

89.75

76.57

47.68

16.92

 

α=0.7

99.07

97.87

96.18

91.98

79.99

51.94

19.83

WS-HEQ II ( 1 )

α=1.0

98.84

96.86

94.61

89.76

78.00

54.30

24.91

 

α=0.6

99.05

97.53

95.75

91.99

81.35

58.35

26.98

WS-HEQ II ( 2 )

α=1.0

98.87

97.41

95.50

91.15

79.06

53.96

22.29

 

α=0.6

99.04

97.60

95.70

91.68

80.83

56.61

24.45

WS-HEQ II ( 3 )

α=1.0

98.89

96.76

94.29

88.97

76.42

52.44

23.69

 

α=0.7

99.05

97.87

95.98

91.86

80.62

53.88

20.51

WS-HEQ II ( 4 )

α=1.0

98.92

97.13

94.84

90.07

76.92

49.96

19.89

 

α=0.6

98.96

97.49

95.54

91.17

79.00

51.23

19.37

  1. They are for different SNR cases while averaged over ten noise situations as to the Aurora-2 database.