Table 10 WER (%) of conventional ESniff MMSR method for Aurora 2 task using AFE feature vectors
SNR (dB) | Set A | Set B | Set C | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Â | Noise type | Noise type | Noise type | ||||||||||
| Â | Sub. | Bab. | Car | Exh. | Ave. | Res. | Str. | Air. | Sta. | Ave. | Sub. | Str. | Ave. |
20 | 1.29 | 1.45 | 1.07 | 1.36 | 1.29 | 1.50 | 2.12 | 1.10 | 1.23 | 1.49 | 1.47 | 2.03 | 1.75 |
15 | 2.06 | 2.09 | 1.22 | 1.79 | 1.79 | 2.49 | 2.81 | 1.79 | 2.62 | 2.43 | 2.18 | 2.60 | 2.39 |
10 | 4.11 | 4.47 | 2.36 | 3.67 | 3.65 | 5.04 | 5.71 | 4.41 | 4.57 | 4.93 | 3.99 | 5.11 | 4.55 |
5 | 7.61 | 11.61 | 5.10 | 7.99 | 8.08 | 15.11 | 13.88 | 10.20 | 12.03 | 12.80 | 8.63 | 11.67 | 10.15 |
0 | 20.85 | 37.24 | 14.17 | 20.27 | 23.13 | 38.56 | 33.59 | 28.00 | 26.50 | 31.66 | 20.91 | 27.09 | 24.00 |
Ave. | 7.18 | 11.37 | 4.78 | 7.02 | 7.59 | 12.54 | 11.62 | 9.10 | 9.39 | 10.66 | 7.44 | 9.70 | 8.57 |