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Table 19 Experimental results on the real reverberant data by using NN training dataset ā€˜1s.20uā€™ (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.