Lip Reading Multiclass Classification by Using Dilated CNN with Turkish Dataset

Author:

Akman Nergis Pervan1,Sivri Talya Tumer1,Berkol Ali1,Erdem Hamit2

Affiliation:

1. Defense and Information Systems BITES,Ankara,TURKEY

2. Bąskent University,Electrics and Electronics Department,Ankara,TURKEY

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Connectivity Enhancing-Automated Lip Interpretation Using Deep Learning;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

2. Temporal Keyframe Technique based on CNN and LSTM for Enhancing Lip Reading Performance;2024 12th International Electrical Engineering Congress (iEECON);2024-03-06

3. Automatic lip-reading model using 3D-CNN & LSTM;i-manager’s Journal on Software Engineering;2024

4. Seeing the Unheard: Lip Reading with Deep Learning;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

5. Lip Detection and Recognition-A Review1;2023 International Conference on Networking and Communications (ICNWC);2023-04-05

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