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Table 6 The recognition accuracy results (%) achieved by the combination of TSN and WS-HEQ

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

Method

Set A

Set B

Set C

Average

TSN

80.86

82.39

80.46

81.39

WS-HEQ I ( 1 )

83.36

85.37

83.89

84.27

WS-HEQ I ( 1 ) +TSN

85.32

86.77

85.01

85.84

WS-HEQ I ( 2 )

82.29

83.22

82.82

82.76

WS-HEQ I ( 2 ) +TSN

85.06

86.21

84.75

85.46

WS-HEQ I ( 3 )

83.57

85.15

83.93

84.27

WS-HEQ I ( 3 ) +TSN

85.35

86.54

85.15

85.78

WS-HEQ I ( 4 )

82.88

84.70

82.78

83.59

WS-HEQ I ( 4 ) +TSN

84.41

85.81

83.96

84.88

WS-HEQ II ( 1 )

84.13

86.16

84.39

84.99

WS-HEQ II ( 1 ) +TSN

85.59

87.41

85.26

86.25

WS-HEQ II ( 2 )

83.54

85.75

83.83

84.48

WS-HEQ II ( 2 ) +TSN

85.77

87.08

85.34

86.21

WS-HEQ II ( 3 )

83.25

85.10

83.50

84.04

WS-HEQ II ( 3 ) +TSN

84.68

86.75

84.25

85.42

WS-HEQ II ( 4 )

82.30

83.45

82.90

82.88

WS-HEQ II ( 4 ) +TSN

84.59

85.32

84.59

84.88

  1. They are for different test sets while averaged over five SNR conditions (20 to 0 dB) as to the Aurora-2 database. The scaling factor α listed in Table 1 is adopted for each WS-HEQ.