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AI · September 23, 2022

Whisper by OpenAI

A neural net for speech recognition

Whisper by OpenAI launched on September 23, 2022 with 182 votes, #164 of 3,464 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.

What it does

Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web.

Does a similar job

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  • Port of OpenAI's Whisper model in C/C++2022 · github.com · ▲399

    Hi 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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  • Windows port of OpenAI's Whisper automatic speech recognition model2023 · github.com · ▲43

    This 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.

  • WhisperFusion – Low-latency conversations with an AI chatbot2024 · github.com · ▲272

    WhisperFusion builds upon the capabilities of open source tools WhisperLive and WhisperSpeech to provide a seamless conversations with an AI chatbot.

  • Whispering – Open-source, local-first dictation you can trust2025 · github.com · ▲591

    Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. Your data is stored locally on your device, and your audio goes directly from your machine to a local provider (Whisper C++, Speaches, etc.) or your chosen…

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    Offline AI Speech to Text Transcription for iOS & macOS

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