Evaluate-Lip-reading-using-Deep-Learning-Techniques.

This paper explores Silent Sound Technology, focusing on its potential to enhance communication in noisy environments through lip-reading and deep learning, with applications in hearing aids and security.

Dataset:

LRW, GRID, LRS2, LRS3-TED, VoxCeleb2, CAS-VSR-W1k(LRW-1000

Contact

For any questions or feedback, please contact Debojyoti Bhuinya, Subhamay Ganguly, Akash Das,

Proposed Methodology

In this section, we describe the methodology employed for preprocessing video data, aligning it with textual content, and training a neural network model for a specific task. The proposed methodology encompasses data loading, data preprocessing, and model training.

Convolutional Neural Network:

Bi-Directional LSTM architecture

Total Architecture

Performence Evaluation