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Table 2 WER of the MC MDT experiments on test set 1-7 (Close-talking microphone)

From: Multi-candidate missing data imputation for robust speech recognition

 

WER (%)

 

1. Clean

2. Car

3. Babble

4. Restau.

5. Street

6. Airport

7. Train

Average

1. No MDT

6.82

12.98

32.62

40.95

38.50

32.51

38.37

28.96 ± 0.5

2. BE PROSPECT MDT

6.33

10.89

20.14

28.38

25.42

20.57

25.14

19.55 ± 0.4

3. GB GD MC MDT

6.28

10.95

20.08

29.76

24.98

20.18

25.28

19.64 ± 0.4

4. GB MAP MC MDT

6.00

10.31

20.90

29.12

24.86

19.73

25.89

19.55 ± 0.4

5. GB GD MC MDT + CGS

6.16

10.93

20.36

29.48

25.72

19.91

25.13

19.53 ± 0.4

6. GD CLBR

6.18

11.96

22.90

31.22

26.60

21.74

29.03

21.38 ± 0.4

7. MAP CLBR

6.28

11.81

21.69

31.44

27.63

21.74

28.51

21.30 ± 0.4

8. SB MC MDT

6.67

11.25

20.25

28.90

24.49

19.67

25.20

19.49 ± 0.4

9. Spectral MC MDT

6.41

10.46

21.63

29.68

25.89

20.66

25.85

20.08 ± 0.4

10. Cepstral MC MDT

6.44

11.04

19.90

29.46

25.61

19.86

26.53

19.83 ± 0.4

  1. GB, Gaussian-based; SB, State-based; CGS, CG selection; CLBR, cluster-based reconstruction; BE, Backend.