Skip to main content

Table 12 Upper bound and baseline for the experiments using the simulated reverberant data

From: Single-channel dereverberation by feature mapping using cascade neural networks for robust distant speaker identification and speech recognition

Method

Acoustic model

Digit accuracy (%)

Set A

Set B

Avg. set A

Avg. set B

Avg.

Office

EvHall

InCar

LivingR

Lounge

JPstyR

ConfR

BathR

Close (Ideal)

Clean

99.5

99.4

99.5

99.3

99.5

99.4

99.5

99.3

99.4

99.4

99.4

Multi

96.2

96.5

96.1

96.2

96.2

96.5

96.1

96.2

96.2

96.2

96.2

Baseline

Clean

97.5

57.9

95.6

84.4

74.0

89.5

89.8

78.0

83.8

82.8

83.3

Multi

94.3

90.5

94.7

91.5

79.6

93.5

93.4

84.2

92.8

87.7

90.2

CMN

Clean

97.8

66.0

98.7

83.5

87.3

92.2

93.3

81.7

86.5

88.6

87.6

Multi

92.8

91.9

92.5

90.0

92.6

91.9

93.1

81.3

91.8

89.7

90.8