Research Article
Indonesian Lip-Reading Detection and Recognition Based on Lip Shape Using Face Mesh and Long-Term Recurrent Convolutional Network
Table 3
Performance results of IndoLR.
| Model | Words | Rt (ms) | Phrase | Rt (ms) | Val. acc. (%) | Test acc. (%) | Tt (s) | Val. acc. (%) | Test acc. (%) | Tt (s) |
| Conv-LSTM | 94.7 | 90.42 | 7996.6 | ±88 | 95 | 90.62 | 9509.8 | ±105 | LRCN-2Conv | 95.83 | 92.92 | 600.3 | ±64 | 99.37 | 95.00 | 539.6 | ±68 | LRCN-3Conv | 97.92 | 95.42 | 727.3 | ±62 | 99.37 | 95.63 | 585.9 | ±66 |
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Tt, training time in seconds; Rt, average recognition time for each video sample in milliseconds. |