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Table 19 Experimental results on the real reverberant data by using NN training dataset ‘1s.20u’ (combined)

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 (%)

InCar

Lounge

MeetR

Office

Average

LMCN + Proposed (24 NNs)

Skip1 8-1-0

Clean-rt

84.9

58.5

90.7

93.6

81.9

Multi-rt

80.9

82.7

90.4

83.6

84.4

Clean+multi-rt

89.1

90.7

94.7

93.0

91.8

Skip1 16-1-0

Clean-rt

84.5

55.4

89.5

93.7

80.7

Multi-rt

78.2

80.5

88.5

84.5

82.9

Clean+multi-rt

88.5

90.6

94.0

93.9

91.7

  1. The bold text represents the best average performance.