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  1. 1
    tiny-audio offers a minimal open-source speech-to-text model●tiny-audio, nanoGPT for speech-to-text Article URL: https:// github.com/alexkroman/tiny-aud io Comments URL: https:// neMmastodonBusinessStartups19 h ago

    Developer Alex Kroman has released tiny-audio, an open-source project on GitHub that applies the nanoGPT minimalist approach to speech-to-text, providing a small, simple model for transcribing audio. The project was shared on Hacker News, drawing early attention from developers interested in lightweight, hackable AI tools for audio transcription.

  2. 2
    tiny-audio brings nanoGPT-style minimalism to speech-to-text●tiny-audio, nanoGPT for speech-to-text https://github.com/alexkroman/tiny-audio # HackerNews # Tech # SpeechRecognitionMmastodonTechnology21 d ago

    A new open-source project called tiny-audio applies the nanoGPT approach of small, readable, hackable codebases to speech recognition, offering a compact speech-to-text model on GitHub. Developers are sharing it as an accessible entry point for anyone wanting to build or experiment with transcription models without heavyweight frameworks or massive training pipelines.

  3. 3
    tiny-audio brings nanoGPT-style training to speech-to-text●tiny-audio, nanoGPT for speech-to-textYhn51 d ago

    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.

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