Lipreading with Deep Learning
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures - astorfi/lip-reading-deeplearning
Lipreading with Deep Learning launched on October 20, 2018 with 258 votes, #65 of 2,827 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
Lipreading with Deep Learning is an open-source project that uses artificial intelligence to recognize speech by analyzing lip movements in video. Developed for researchers and developers interested in computer vision and machine learning, it provides tools to train and test lipreading models. The project is hosted on GitHub, making it accessible to those working on speech recognition applications or exploring visual-based language understanding technologies.
written from the facts on this page · September 2026
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Lip Reading – Who Said What? Answered by Deep Learning2017 · github.com · ▲13:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures - astorfi/lip-reading-deeplearning
Port of OpenAI's Whisper model in C/C++2022 · github.com · ▲399Hi HN, OpenAI recently released a model for automatic speech recognition called Whisper [0]. I decided to reimplement the inference of the model from scratch using C/C++. To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C++. The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies. The Github project is here: https://github.com/ggerganov/whisper.cpp With this implementation I can very easily build and run the model - “make…
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