Daniel Rosehill Blog
Exploring technology, AI, business insights, and personal reflections from a curious mind
Parakeet English-Hebrew code-switching model, now in MLX for Apple Silicon
An MLX port of v3 of my English-Hebrew code-switching Parakeet fine-tune, so it runs natively on Apple Silicon Macs via parakeet-mlx or mlx-audio. Same 4.4% WER as the NeMo original on the check set.
Parakeet English-Hebrew Fine-Tune: v3 Released
v3 of my English-Hebrew code-switching Parakeet fine-tune is out. Code-switching WER drops from 10.9% (stock) to 5.3%. Charts compare every version on the same test.
English-Hebrew Code-Switching Parakeet: Version 3
Version 3 of an English-Hebrew code-switching fine-tune of NVIDIA Parakeet TDT 0.6B v2: results against stock and earlier versions, what more data did and did not improve, and downloads.
Whisper Hebrish Small ACFT: a code-switching model for FUTO Keyboard
A phone-sized Whisper Hebrish for FUTO Keyboard on Android. It halves the stock English model's error rate on English-with-Hebrew dictation (11.8% to 5.8% WER) and imports as a single 264 MB file.
Whisper Hebrish v2 Released
Version 2 of Whisper Hebrish, my Whisper fine-tune for English with Hebrew words mixed in. Code-switching WER drops from 14.7% (stock turbo) to 6.7%, and there are whisper.cpp builds.
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inventory-spec-extractor: a 34 MB model for reading product spec lines
A small token-classification model that pulls voltages, connectors, materials and 22 other attributes out of one line of a product spec. Runs on CPU in about 20 ms per line. F1 0.85 against a regex baseline's 0.58.
Can speech-to-text spell ‘makolet’? I tested seven models on Hebrish
English speakers in Israel talk Hebrish, and dictation software mangles the Hebrew words. I built an open benchmark to measure it: my fine-tune gets two-thirds of them right, off-the-shelf models a third to under half.
An English-Hebrew Code-Switching Fine-Tune of Parakeet TDT 0.6B v2
A fine-tune of NVIDIA Parakeet TDT 0.6B v2 that transcribes Hebrew words in English speech, in a consistent romanized spelling. Results, downloads for Android and desktop, and the public datasets.
My Hugging Face models and datasets, by theme (October 2026)
A point-in-time snapshot of the 16 models and 72 datasets on my Hugging Face profile, grouped by theme, from Hebrew-English code-switching to Jerusalem photography.
Teaching a podcast to say makolet: a classifier for Hebrew hiding in English
I released a small model on Hugging Face that finds romanised Hebrew words inside English text, so TTS voices like Chatterbox can stop reading them as English. Built for My Weird Prompts.