Chirp-STT: Local Windows Dictation App Using ParakeetV3 Speech Recognition
By
whamp
Crisp on the outside, thoughtful on the inside. A keeper.
Summary
Chirp-STT is a Windows dictation application that runs fully locally using the ParakeetV3 speech-to-text model. The app is managed with uv and designed to work without requiring executable file permissions - if Python can run on the machine, Chirp can run. The article explains that ParakeetV3 was chosen because it offers accuracy comparable to Whisper-large-V3 (4.91 vs 5.05 multilingual WER) but is 17x faster and only requires a CPU, unlike Whisper models that need GPUs for comparable performance. The project is hosted on GitHub as an open-source development project.
Key quotes
· 3 pulledChirp is a Windows dictation app that runs fully locally using ParakeetV3 STT and is managed end-to-end with uv.
Chirp does not require the ability to run executable files (like .exe) on Windows. It was designed so that if you're allowed to run Python on your machine, you can run Chirp.
ParakeetV3 has indistinguishable accuracy from Whisper-large-V3 (multilingual WER 4.91 vs 5.05) but is 17x faster and only requires a CPU while Whisper models of comparable accuracy require GPU's.
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