AUTOMATIC LIP-READING OF HEARING IMPAIRED PEOPLE

11 citations as recorded by crossref.

1. Educational Methodologies for Hearing Impaired Children Supported by Mobile Technology and Extended Reality: Systematic Analysis of Literature E. Del Pezo Izaguirre et al. https://doi.org/10.1109/RITA.2021.3135202
2. A Comprehensive Review of Recent Advances in Deep Neural Networks for Lipreading With Sign Language Recognition N. Rathipriya & N. Maheswari https://doi.org/10.1109/ACCESS.2024.3463969
3. Sign language interpretation using machine learning and artificial intelligence F. Najib https://doi.org/10.1007/s00521-024-10395-9
4. HNet: A deep learning based hybrid network for speaker dependent visual speech recognition V. Chandrabanshi & S. Domnic https://doi.org/10.3233/HIS-240014
5. Lipreading as a communication strategy to enhance speech recognition in individuals with hearing impairment: a scoping review R. Santana et al. https://doi.org/10.1080/17483107.2025.2449984
6. A Review of Recent Advances on Deep Learning Methods for Audio-Visual Speech Recognition D. Ivanko et al. https://doi.org/10.3390/math11122665
7. Evaluation of end-to-end continuous spanish lipreading in different data conditions D. Gimeno-Gómez & C. Martínez-Hinarejos https://doi.org/10.1007/s10579-025-09809-4
8. Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices D. Ryumin et al. https://doi.org/10.3390/s23042284
9. Data-Driven Advancements in Lip Motion Analysis: A Review S. Torrie et al. https://doi.org/10.3390/electronics12224698
10. Leveraging 3D-CNN and graph neural network with attention mechanism for visual speech recognition V. Chandrabanshi & S. Domnic https://doi.org/10.1007/s11760-025-04438-4
11. Cross-Attention Fusion of Visual and Geometric Features for Large-Vocabulary Arabic Lipreading S. Daou et al. https://doi.org/10.3390/technologies13010026