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Table 3 WER of the MC MDT experiments on test set 8-14 (Far-talking microphone)

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

  WER (%)
  8. Clean 9. Car 10. Babble 11. Restau 12. Street 13. Airport 14. Train Average
1. No MDT 21.35 30.51 47.71 53.26 55.52 46.95 55.41 44.39 ± 0.5
2. BE PROSPECT MDT 15.93 23.02 36.39 41.29 42.14 34.65 41.32 33.54 ± 0.5
3. GB GD MC MDT 15.93 23.63 37.15 42.27 41.43 35.29 40.91 33.80 ± 0.5
4. GB MAP MC MDT 15.51 23.58 37.17 42.13 41.99 35.00 41.55 33.84 ± 0.5
5. GB GD MC MDT + CGS 15.86 23.96 37.43 42.49 41.58 35.15 40.83 33.90 ± 0.5
6. GD CLBR 19.39 27.93 40.54 45.75 48.14 38.88 45.45 38.01 ± 0.5
7. MAP CLBR 17.86 27.54 43.96 48.10 48.10 39.73 46.98 38.90 ± 0.5
8. SB MC MDT 15.88 23.01 37.23 41.93 41.39 34.99 41.71 33.73 ± 0.5
9. Spectral MC MDT 15.77 24.42 38.74 44.57 42.42 36.17 42.54 34.95 ± 0.5
10. Cepstral MC MDT 16.05 23.04 36.57 42.37 41.74 35.07 41.84 33.62 ± 0.5
  1. GB, Gaussian-based; SB, State-based; CGS, CG selection; CLBR, cluster-based reconstruction; BE, Backend.