HLR-Net: A Hybrid Lip-Reading Model Based on Deep Convolutional Neural Networks
Source abstract
Abstract
Lip reading is typically regarded as visually interpreting the speaker’s lip movements during the speaking. This is a task of decoding the text from the speaker’s mouth movement. This paper proposes a lip-reading model th... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Speech and Audio Processing · Face recognition and analysis · Infant Health and Development
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (26)
Show source-provided references
1. Can we read speech beyond the lips? rethinking ROI selection for deep visual speech recognition
2. Hearing lips: Improving lip reading by distilling speech recognizers10.1609/aaai.v34i04.6174 ↗
3. Improved speaker independent lip-reading using speaker adaptive training and deep neural networks
4. Lip reading in the wild
5. Lipreading using temporal convolutional networks
6. Lip reading using a dynamic feature of lip images and convolutional neural networks
7. Y. M. Assael, B. Shillingford, S. Whiteson and N. de Freitas, “Lipnet: Sentence-level lipreading, vol. 2, no. 4, arXiv preprint arXiv: 1611.01599, 2016.
8. Lipreading with long short-term memory
9. T. Stafylakis and G. Tzimiropoulos, “Combining residual networks with LSTMs for lipreading,” arXiv preprint arXiv: 1703.04105, 2017.10.21437/Interspeech.2017-85 ↗
10. Lip reading sentences in the wild
11. Lip-reading via deep neural network using appearance-based visual features
12. A lip reading model using CNN with batch normalization
13. End-to-end low-resource lip-reading with Maxout CNN and LSTM
14. LCANet: End-to-end lipreading with cascaded attention-CTC
15. T. Afouras, J. S. Chung and A. Zisserman, “LRS3-Ted: A large-scale dataset for visual speech recognition,” arXiv preprint arXiv: 1809.00496, 2018.
16. Lipreading using a comparative machine learning approach
17. Lip-reading via a DNN-HMM hybrid system using combination of the image-based and model-based features
18. Convolutional neural networks for predicting words: A lip-reading system
19. Deep audio-visual speech recognition
20. X. Weng and K. Kitani, “Learning spatio-temporal features with two-stream deep 3D CNNs for lipreading,” arXiv preprint arXiv: 1905.02540, 2019.
21. Deep lip reading-a deep learning based lip-reading software for the hearing impaired
22. Artificial intelligence: A survey on lipreading techniques
23. Lip reading experiments for multiple databases using conventional method
24. GitHub, “A hybrid lip reading model based on deep CNNs,” accessed 24 January 2021, 2020. [Online]. Available: https://github.com/Dr-Dina-M-Ibrahim/HLR-NET-A-Hybrid-Lip-Reading-model-based-on-Deep-Convolution-Neural-Networks.git.
25. Lip reading deep network exploiting multi-modal spiking visual and auditory sensors
26. Lip reading with HAHN convolutional neural networks10.1016/j.imavis.2019.04.010 ↗