Lip Reading from Images Using a Dual-Input 3D Convolutional Neural Network (DI-3DCNN)

The contribution of research in lip reading using deep
learning model named modified dual-input 3D Convolutional
Neural Network (3DCNN) is fundamentally transforming
communication accessibility for individuals with hearing
impairments. Additionally, we explore some models like as
3D Convolutional Neural Network (3D-CNN), 2D
Convolutional Neural Network with GRU, 2D Convolution
Neural Network with LSTM (2DCNN with LSTM) on our
dataset and evaluate the performance and finally compare the
performances with our proposed system