Parakeet
ASR model for dictation transcription
Episodes
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#6052: What's Actually in the Hugging Face ASR Catalog?Four real architectural bets sit underneath thousands of Hugging Face ASR repos. Here's how to tell the bets from the repackagings. -
#6022: Fine-Tuning for Code-Switched Hebrew on 2 Hours of AudioTwo hours of one man's voice beat models trained on 120,000 hours — but only for code-switched Hebrew. -
#5938: One Regex Rule Worked, One Was ImpossibleA dictation app, two text-replacement rules, and the mathematical line between what regex can match and what it provably cannot. -
#5604: Fixing Typos Without Rewriting the PromptThree different jobs hide in one "clean up my prompt" pipeline — and only one of them should ever go to a generative model. -
#5469: Open Source's New Map: India, Croatia, EthiopiaOne in three new GitHub developers now comes from a country outside 2020's top ten. What that shift means for open source. -
#5419: The Attention Budget in Your PocketWhy phone dictation runs out of room, and how bounded attention windows buy you punctuation without blowing your memory budget. -
#5384: Android ASR Runtimes: LiteRT, ExecuTorch, and Why Your Phone Has No VRAMWhy does your phone have no VRAM number? A tour of Android's runtime layer and what it takes to run ASR locally. -
#1555: Beyond Whisper: NVIDIA’s Real-Time Speech RevolutionMove over Whisper. NVIDIA's new models offer 10x speed increases and better accuracy for real-time speech-to-text.