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
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
Repository for the paper "Lip Reading in unconstrained driving scenario with Greek 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. -_-
An multi modal automated proctor for online exams
Tracking mouth movement(Lips)
Deep Visual Speech Recognition in arabic words
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
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
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
Speaker-Independent Speech Recognition using Visual Features
My experiments with lip reading using GRIDcorpus dataset
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