Implementation of a method to lipreading using landmark from 3D talking head
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Updated
Jul 8, 2023 - Python
Implementation of a method to lipreading using landmark from 3D talking head
Chainer code for using Residual Networks with LSTMs for Lipreading
Replication of the state-of-the-art LIPNET model for end-to-end sentence-level lipreading.
Курсовой проект по теме "Анализ эффективности архитектур визуального распознавания речи"
Visual Speech Recognition using deep learing methods
A video demo of IEEE International Conference on Acoustics, Speech and Signal Processing submitted paper titled "Lip-to-Speech Synthesis in the Wild with Multi-task Learning"
Implementation of "Combining Residual Networks with LSTMs for Lipreading" in Keras and Tensorflow2.0
The concurrent lipreader for the smart masses (DC27 AI Village)
Speaker-Independent Speech Recognition using Visual Features
This project aims to develop and test different lip reading algorithms on words and on sentences, using the GRID Corpus Dataset.
PyTorch models for lipreading words and sentences
A Keras implementation of LipNet
End-to-end pipeline for lip reading at the word level using a tensorflow CNN implementation.
A pipeline to read lips and generate speech for the read content, i.e Lip to Speech Synthesis.
"LipNet: End-to-End Sentence-level Lipreading" in PyTorch
DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990
Audio-Visual Speech Recognition using Sequence to Sequence Models
Auto-AVSR: Lip-Reading Sentences Project
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.
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