Inspired by the LipNet Paper at https://arxiv.org/abs/1611.01599 and the Visual Speech Recognition for Multiple Languages in the Wild paper at https://arxiv.org/pdf/2202.13084v2.pdf

This model seeks to decipher sequences of lip movements captured in video frames and translate them into meaningful spoken language or phonetic representations.

A novel lipreading system that improves on the task of speaker-independent word recognition by decoupling motion and content dynamics.

A Lip Reading Flutter Application

Automatic Lip reading Model using 3D CNN and GRU

Repository for the paper "Lip Reading in unconstrained driving scenario with Greek words"

Deep Learning Approach for Lip reading in Real-Time

Tracking mouth movement(Lips)

An multi modal automated proctor for online exams

Deep Visual Speech Recognition in arabic words

In this repository, I try to use k2, icefall and Lhotse for lip reading. I will modify it for the lip reading task. Many different lip-reading datasets should be added. -_-

SYDE 522: Machine Intelligence course project on automated lip reading.

Our project's source code and documentation as part of the requirements for Graduation Project-2 (CCEN481) in Computer Engineering Program at Cairo University Faculty of Engineering

EMOLIPS: TWO-LEVEL APPROACH FOR LIP-READING EMOTIONAL SPEECH

Code repo for NTUA DSML MSc thesis

An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker

My experiments with Zero Shot Learning

Speaker-Independent Speech Recognition using Visual Features

In this project, visual speech recognition has been attempted using 2 major machine learning techniques namely CNN and HMM. We also compare the efficiencies of Character and Word based CNN models. Miracl-VC1 Dataset was used to train all the models