Episode Details

Daniel records himself reading prompts aloud to fine-tune a speech recognition model, and every brand name, Hebrew term, or Yiddish word he's only seen written down becomes a wall: he doesn't know how to say it, so whatever he says becomes the training label. The obvious fix is a pipeline — word in, predicted phonetics, a voice says it back. The pipeline exists, in parts. Grapheme-to-phoneme (G2P) conversion, IPA versus ARPAbet, dictionary lookup before neural guessing, WikiPron's five million human-written entries, and Hebrew's missing vowels all shape what's actually possible. This episode walks through the tools — espeak-ng, Epitran, Charsiu G2P, Phonikud, ReNikud — and the playback half nobody warns you about: many modern TTS models ignore phoneme input entirely. If you've ever needed a machine to tell you how to say something, this is the map. Episode 6161 — myweirdprompts.com/n/6161 (permanent short link: myweirdprompts.com/452319)