Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset
Lip reading is extensively used in visual speech recognition to classify and recognize words by analyzing mouth movements in silent videos. Transfer learning models are often employed to improve performance in this area. However, the effectiveness of these models can be significantly affected by the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10699339/ |