Attention based Multi Modal Learning for Audio Visual Speech Recognition
Author:
Affiliation:
1. PSG College of Technology,Dept of EEE,Coimbatore,India
2. PSG College of Technology,Dept of IT,Coimbatore,India
3. PSG College of Technology,Dept of CSE,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10064684/10064724/10065019.pdf?arnumber=10065019
Reference12 articles.
1. Towards end-to-end speech recognition with recurrent neural networks;graves;Proceedings of the 31st International Conference on International Conference on Machine Learning,2014
2. Attention-based models for speech recognition;chorowski;Proceedings of the 28th International Conference on Neural Information Processing Systems,2015
3. Deep Lip Reading: A Comparison of Models and an Online Application
4. Lip reading of hearing impaired persons using HMM
5. OCR, Classification & Machine Translation (OCCAM);bogaert;Proceedings of the 22nd Annual Conference of the European Association for Machine Translation,2020
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1. A novel framework using 3D-CNN and BiLSTM model with dynamic learning rate scheduler for visual speech recognition;Signal, Image and Video Processing;2024-05-18
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