Spotting words in silent speech videos: a retrieval-based approach

Author:

Jha AbhishekORCID,Namboodiri Vinay P.,Jawahar C. V.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference57 articles.

1. Arandjelović, R., Zisserman, A.: Three things everyone should know to improve object retrieval. In: CVPR (2012)

2. Assael, Y.M., Shillingford, B., Whiteson, S., de Freitas, N.: Lipnet: Sentence-level lipreading. arXiv preprint arXiv:1611.01599 (2016)

3. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2014). arXiv preprint arXiv:1409.0473

4. Basu, S., Oliver, N., Pentland, A.: 3d modeling and tracking of human lip motions. In: ICCV (1998)

5. Bourlard, H.A., Morgan, N.: Connectionist Speech Recognition: A Hybrid Approach, vol. 247. Springer, Berlin (2012)

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1. Survey on Visual Speech Recognition using Deep Learning Techniques;2023 International Conference on Communication System, Computing and IT Applications (CSCITA);2023-03-31

2. Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

3. A multimodel keyword spotting system based on lip movement and speech features;Multimedia Tools and Applications;2020-04-20

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