Rathi4research's repositories
lip_reading_project_public
This project aims to develop and test different lip reading algorithms on words and on sentences, using the GRID Corpus Dataset.
FFmpeg
Mirror of https://git.ffmpeg.org/ffmpeg.git
learn-an-effective-lip-reading-model-without-pains
The PyTorch Code and Model In "Learn an Effective Lip Reading Model without Pains", (https://arxiv.org/abs/2011.07557), which reaches the state-of-art performance in LRW-1000 dataset.
GRIDcorpus-experiments
My experiments with lip reading using GRIDcorpus dataset
Visual_Speech_Recognition_for_Multiple_Languages
Visual Speech Recognition for Multiple Languages
LipNet
Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'
Lipreading_using_Temporal_Convolutional_Networks
ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks
end-to-end-lipreading
Pytorch code for End-to-End Audiovisual Speech Recognition
lip-reading-deeplearning
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
lipreading
PyTorch models for lipreading words and sentences
AI_CryptAux
Lipreading
Lip2Word
End-to-end pipeline for lip reading at the word level using a tensorflow CNN implementation.