AI · May 10, 2023
Awesome OpenAI Whisper List
🔊 Awesome list for Whisper — an open-source AI-powered speech recognition system developed by OpenAI - awesome-whisper/readme.md at main · sindresorhus/awesome-whisper
Awesome OpenAI Whisper List launched on May 10, 2023 with 7 votes, #1,883 of 4,910 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
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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…

Whispering Dubverse, Powered by OpenAI2022 · ▲138Generate English subtitles for videos in any language
Windows port of OpenAI's Whisper automatic speech recognition model2023 · github.com · ▲43This project is a Windows port of the whisper.cpp implementation: https://github.com/ggerganov/whisper.cpp Which in turn is a C++ port of OpenAI's Whisper automatic speech recognition (ASR) model: https://github.com/openai/whisper The implementation has no dependencies, usually much faster than realtime, and should hopefully work on most Windows computers in the world.
I made an open source and local translation app2024 · github.com · ▲236A few years ago, right after high school, I decided to try to make a simultaneous translation app for Android as a side project, it took longer than expected (about 2 years) and I had to make a lot of compromises (I had to use Google's API and therefore make users use a developer key because at the time there were no free solutions for speech recognition and translation that had good quality). At the end of university, I decided to pick it up again and finally, using OpenAi's Whisper for speech recognition and Meta's NLLB for translation (with both running locally on the phone), I managed to…
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