The Tiny Hebrew Models Behind the Show's Voice

Hebrew speech pipelines lean on small task models that quietly decide whether the output is right — a nikudizer, a phonetic converter, a spelling normalizer. This episode digs into Dicta's DictaBERT-large-char-menaked, Phonikud's adaptors on top of it, UNIKUD's CANINE-based approach, and why the model that converts defective to full spelling only exists as a byproduct of training another tool. Along the way: a live pipeline that renamed a host, a silent failure mode where unvowelled text slipped into a voice engine, and the Unicode trap that eats verse endings if you strip niqqud the lazy way.

Episode 6148 — myweirdprompts.com/n/6148 (permanent short link: myweirdprompts.com/813776)