Improving Audio-Visual Speech Recognition Using Gabor Recurrent Neural Networks

Author:

Saudi Ali S.,Khalil Mahmoud I.,Abbas Hazem M.

Publisher

Springer International Publishing

Reference20 articles.

1. Chang, S.Y., Morgan, N.: Robust CNN-based speech recognition with Gabor filter kernels. In: Fifteenth Annual Conference of the International Speech Communication Association (2014)

2. Feng, W., Guan, N., Li, Y., Zhang, X., Luo, Z.: Audio visual speech recognition with multimodal recurrent neural networks. In: IEEE International Joint Conference on Neural Networks (IJCNN), pp. 681–688. IEEE (2017)

3. Gabor, D.: Theory of communication. Part 1: the analysis of information. J. Inst. Electr. Eng. Part III Radio Commun. Eng. 93(26), 429–441 (1946)

4. Graves, A., Fernández, S., Gomez, F., Schmidhuber, J.: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 369–376. ACM (2006)

5. Graves, A., Jaitly, N.: Towards end-to-end speech recognition with recurrent neural networks. In: International Conference on Machine Learning, pp. 1764–1772 (2014)

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