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Table 3 ASR WERs (%) of our proposed front-end technologies with state-of-the-art back-end strategies for Eval., which can be compared to the original REVERB challenge results. An extended training data (ext.) can be additionally applied to DNN-HMM

From: Front-end technologies for robust ASR in reverberant environments—spectral enhancement-based dereverberation and auditory modulation filterbank features

REVERB challenge Eval. 1ch ASR task SimData RealData
   Utterance-based batch processing mode Room1 Room2 Room3 Avg. Room1 Avg.
   with multi-condition training Near Far Near Far Near Far   Near Far  
Results from challenge REVERB baseline 20.84 21.72 23.43 38.59 28.43 44.79 29.62 59.09 55.81 57.45
   Our submitted results from [12] 13.64 14.93 16.11 25.65 19.77 30.51 20.09 41.97 42.27 42.12
   Results from [11] 5.90 6.60 7.90 12.20 8.70 13.20 9.10 32.60 32.30 32.50
   Results from [11] (ext.) 5.10 5.60 6.70 11.50 7.60 11.60 8.00 27.10 27.90 27.50
This study SGMM BN{MFCC(L=R=4,#117)}(#42) 6.52 7.30 8.31 13.41 9.86 16.85 10.37 25.07 24.48 24.77
   BN{MFCC(L=R=4,#117)}(#42)+SE 6.20 7.52 8.70 14.37 9.72 17.14 10.60 24.75 24.10 24.42
   BN{AMFB(#117)}(#42) 5.78 6.61 8.37 12.60 9.25 14.48 9.51 24.50 24.21 24.35
   BN{AMFB(#117)}(#42)+SE 6.34 7.32 9.08 13.40 9.67 14.94 10.12 24.38 23.90 24.14
  DNN FBANK(L=R=5,#440) 5.66 7.47 8.44 14.11 9.84 17.20 10.45 28.53 28.46 28.49
   FBANK(L=R=5,#440)+sMBR 5.86 6.91 7.17 11.51 8.70 14.48 9.10 23.22 24.61 23.91
   FBANK(L=R=5,#440)+sMBR+SE 6.32 6.90 7.83 12.46 8.53 14.51 9.42 22.69 24.47 23.58
   AMFB-FBANK(L=R=1,#1080) 5.54 6.22 7.57 11.33 8.17 12.98 8.63 24.15 27.99 26.07
   AMFB-FBANK(L=R=1,#1080)+sMBR 5.71 6.39 7.17 10.53 7.36 11.82 8.16 22.68 23.43 23.05
   AMFB-FBANK(L=R=1,#1080)+sMBR+SE 5.86 6.42 7.22 10.71 7.40 11.94 8.25 21.93 23.16 22.71
  DNN+(ext.) FBANK(L=R=5,#440) 4.90 6.23 6.49 12.88 8.09 16.02 9.09 26.38 26.43 26.40
   FBANK(L=R=5,#440)+SE(test) 5.22 6.39 7.06 11.65 7.51 13.34 8.52 24.08 25.42 24.75
   FBANK(L=R=5,#440)+sMBR 4.76 6.00 5.85 11.40 7.61 13.97 8.26 25.36 24.85 25.10
   FBANK(L=R=5,#440)+sMBR+SE(test) 4.91 6.05 6.41 10.90 7.01 12.83 8.01 25.14 24.78 24.96
   AMFB-FBANK(L=R=1,#1080) 5.15 5.79 7.28 10.87 8.10 13.25 8.40 23.70 25.05 24.37
   AMFB-FBANK(L=R=1,#1080)+SE(test) 5.17 5.95 7.14 10.75 8.12 13.19 8.38 23.16 24.38 23.77
   AMFB-FBANK(L=R=1,#1080)+sMBR 4.93 6.01 6.37 10.26 7.80 12.13 7.91 24.15 24.92 24.53
   AMFB-FBANK(L=R=1,#1080)+sMBR+SE(test) 5.07 5.86 6.30 10.34 7.66 11.99 7.86 23.89 23.50 23.69