Lip Reading Using Temporal Adaptive Module
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8141-0_26
Reference19 articles.
1. Sun, K., Yu, C., Shi, W., Liu, L., Shi, Y.: Lip-interact: improving mobile device interaction with silent speech commands. In: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, pp. 581–593 (2018)
2. Jha, A., Namboodiri, V.P., Jawahar, C.V.: Word spotting in silent lip videos. In: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE (2018)
3. Afouras, T., et al.: Deep audio-visual speech recognition. IEEE Trans. Pattern Anal. Mach. Intell. (2018)
4. Rufai, S.Z., Selwal, A., Sharma, D.: On analysis of face liveness detection mechanisms via deep learning models. In: International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), vol. 2022, pp. 59–64 (2022). https://doi.org/10.1109/ICSCDS53736.2022.9760922
5. Noda, K., Yamaguchi, Y., Nakadai, K., Okuno, H.G., Ogata, T.: Lipreading using convolutional neural network. In: Fifteenth Annual Conference of the International Speech Communication Association (2014)
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