Hebrish · עבריש

Dictation that gets the Hebrew words right.

Ordinary dictation hears makolet and writes "Micollette". Hebrish writes the Hebrew word.

Hebrish builds open speech tools for code-switched English–Hebrew, for English-speaking immigrants in Israel and users throughout the Jewish world: speech recognition (ASR) that writes the Hebrew words correctly, and speech synthesis (TTS) that says them correctly. It is a one-person, not-for-profit project by Daniel Rosehill, and its models and data are open.

• Models: see them all on one page in the Hebrish Models Space.
• Speech recognition (ASR):
  • Sabich, recommended in the apps: code-switching plus tech vocabulary. It comes in variants for every size of device: Qwen3-ASR-1.7B and Canary-Qwen-2.5B for desktop GPUs, Parakeet-110M for small devices, and asr4all-S and -M for wearables.
  • Jachnun: code-switching only.
  • Shakshuka: streaming, so the words appear while you speak.
  • Whisper Hebrish: Whisper fine-tunes, where the project started.
  • On-device builds (GGUF, ONNX, sherpa-onnx, MLX) are in -<format> repos. Which model should I use?
• Speech synthesis (TTS):
  • Meorav: code-switching text-to-speech, a Qwen3-TTS fine-tune that reads code-switched English aloud and pronounces the Hebrew words in it correctly. Meorav PoC-1 is the first checkpoint: experimental, open (CC BY-NC 4.0), no benchmark yet. Training code: Meorav-TTS.
  • A token classifier that finds romanized Hebrew words in English text, for text-to-speech.
• Data: read-aloud code-switching sentences and a frozen benchmark, scored by Hebrew-term recall on a clean subset. Results: hebrish.app/benchmarks.
• Apps: Hebrish runs the models on-device on Android, Linux and Windows.

Everything in one place, including repos still on Daniel's personal account: the Hebrish collection.

Website: hebrish.app · GitHub: Hebrish-ASR