Deep Learning Approach for Lip reading in Real-Time
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Updated
Apr 12, 2019
Deep Learning Approach for Lip reading in Real-Time
Deep Visual Speech Recognition in arabic words
Deep Visual Speech Recognition in arabic words
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
EMOLIPS: TWO-LEVEL APPROACH FOR LIP-READING EMOTIONAL SPEECH
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. -_-
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
Tracking mouth movement(Lips)
An multi modal automated proctor for online exams
This repository contains the implementation of a Lip Reading AI model based on the LipNet research paper. The model is capable of converting lip movements from videos into corresponding text.
Code repo for NTUA DSML MSc thesis
Repository for the paper "Lip Reading in unconstrained driving scenario with Greek words"
The official implementation of OpenSR (ACL2023 Oral)
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
An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker
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
Speaker-Independent Speech Recognition using Visual Features
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