Table 3 The results of different methods tested on the GRID, LRW, and LRW-1000 datasets, respectively
From: Application of deep learning in Mandarin Chinese lip-reading recognition
Method | WER% | Accuracy% |
|---|---|---|
(a) Test on GRID dataset | ||
Lan et al. [24] | 35.00 | 65.00 |
Wand et al. [25] | 20.40 | 79.60 |
Gergen et al. [26] | 13.60 | 86.40 |
Assael et al. [27] | 11.40 | 88.60 |
Maulana et al. [28] | 3.30 | 96.70 |
MCLRN (ours) | 4.40 | 95.60 |
(b) Test on LRW dataset | ||
Petridis et al. [29] | 18.00 | 82.00 |
Stafylakis et al. [30] | 17.00 | 83.00 |
Wang et al. [31] | 16.66 | 83.34 |
MCLRN (ours) | 11.30 | 88.70 |
(c) Test on LRW-1000 dataset | ||
Wang et al. [31] | 63.09 | 36.91 |
Yang et al. [23] | 61.81 | 38.19 |
MCLRN (ours) | 59.80 | 40.20 |