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Table 13 Experimental results on the simulated reverberant data by using NN training dataset ‘5s.20u’

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

Method

Frame selection

Acoustic model

Digit accuracy (%)

Set A

Set B

Avg. set A

Avg. set B

Avg.

Office

EvHall

InCar

LivingR

Lounge

JPstyR

ConfR

BathR

Proposed (24 NNs)

skip1 8-1-0

Clean

98.6

66.3

98.8

89.8

90.1

95.2

92.7

91.5

88.4

92.4

90.4

Multi-rt

97.4

95.6

97.8

97.4

92.1

97.3

96.1

94.5

97.1

95.0

96.1

Cln+mlt-rt

97.6

94.2

98.0

97.0

93.5

97.7

96.5

94.2

96.7

95.5

96.1

Proposed (24 NNs) + CMN

skip1 8-1-0

Clean

97.7

67.8

98.4

86.0

93.3

93.4

92.4

86.6

87.5

91.4

89.5

Multi-rt

96.6

94.7

96.8

96.2

94.7

96.5

95.9

93.6

96.1

95.2

95.7

Cln+mlt-rt

97.1

94.7

97.1

95.2

94.1

96.2

96.2

92.5

96.0

94.7

95.4