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tiny-audio brings nanoGPT-style training to speech-to-text
Original: tiny-audio, nanoGPT for speech-to-text
Developer Alex Kroman has released tiny-audio, an open-source project that applies the minimal nanoGPT training approach to speech recognition. The codebase is designed to be small and readable, letting developers train a speech-to-text model from scratch without large frameworks. It is drawing attention from machine learning practitioners interested in lightweight, hackable audio models.
Why now: Developers are interested in minimalist, educational implementations that make speech-to-text training accessible.
tiny-audionanoGPTAlex KromanGitHub
Evidence
- tiny-audio, nanoGPT for speech-to-text · mazesmazes · 5
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