NVIDIA Parakeet
NVIDIA ASR model family, FastConformer-based
Episodes
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#6160: Where Do Tiny Speech Rules Live? A Ladder From Regex to LoRAA regex notebook, a WFST grammar, or a fine-tune? Where do tiny speech-rewrite rules actually belong in a 600M-parameter model? -
#6027: Can You Snap Two Fine-Tunes Together Like LEGO?Two fine-tunes, one base model, and a question from Jerusalem: can you merge Hebrew code-switching with technical vocab — without retraining? -
#5959: What RTF Actually Tells You About Speech ModelsAccuracy gets the headlines, but speed decides what ships. How RTF, latency percentiles, and memory shape real ASR deployments. -
#5485: Fine-Tuning Parakeet for Hebrew and Your Own JargonNVIDIA's Parakeet beats Whisper on Android — but can you teach it Hebrew, or just your own jargon? Two answers, one much happier. -
#5456: Parakeet vs Whisper: Picking a Phone ASR ModelWhy Whisper loses on Android, why Parakeet v2 beat v3, and how to benchmark speech-to-text without any tooling. -
#5422: Switching Android Keyboards Without the Tap DanceOne listener wants a one-tap jump between his Parakeet voice keyboard and his typing keyboard. Android says no — unless you know the trick. -
#4919: Parakeet vs Whisper: On-Device Dictation ShowdownNVIDIA Parakeet beats Whisper on phone dictation despite having more parameters. Here's why architecture matters more than model size.