Table 2 ASR WERs (%) of various types of features as DNN input with DNN-HMM for Dev
Dev. | 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 | |||
DNN-HMM | MFCC(L=R=5,#143) | 6.61 | 8.82 | 8.31 | 17.03 | 9.97 | 20.03 | 11.79 | 28.70 | 28.91 | 28.80 |
AMFB(#117) | 6.22 | 7.74 | 7.49 | 14.52 | 9.79 | 16.64 | 10.39 | 25.39 | 27.00 | 26.19 | |
FBANK(L=R=5,#440) | 5.80 | 6.91 | 7.17 | 13.90 | 8.28 | 15.01 | 9.50 | 26.08 | 25.91 | 25.99 | |
FBANK(L=R=5,#440)+SE | 5.83 | 7.23 | 7.44 | 14.84 | 8.68 | 14.89 | 9.81 | 25.60 | 25.76 | 25.67 | |
AMFB-FBANK(#360) | 5.19 | 6.32 | 7.69 | 12.50 | 7.72 | 13.95 | 8.89 | 22.27 | 26.66 | 24.45 | |
AMFB-FBANK(#360)+SE | 5.70 | 6.86 | 7.44 | 12.10 | 7.79 | 13.33 | 8.86 | 22.14 | 25.56 | 23.84 | |