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Z d Z e dk( r e yy)a_ Personal research podcast: turn a text source into a spoken episode + RSS.
Pipeline: source text -> gemma writes a spoken-friendly script -> Piper TTS (local)
-> MP3 -> episodes/ -> podcast.xml (RSS with enclosures; subscribe from any app).
RULE: machine voices never pronounce Lakota. The script prompt instructs gemma to
spell out any Lakota term letter by letter ("u-ogonek, k, i-acute...") or refer to
it descriptively. Human-recorded audio dropped into episodes/human/ is included in
the feed as-is, unmodified.
Usage: make_episode.py --source ../digest.md --title "Research radar" [--base-url URL]
N)datetimetimezoneepisodesvoiceszen_US-lessac-medium.onnxz ~/research-feed/.venv/bin/piperz)http://localhost:8000/v1/chat/completionszgemma4-26b-a4bup Turn the following notes into a spoken podcast script for one host.
Rules:
- Conversational, clear, no headers or markdown — words to be read aloud only.
- Never read URLs, arXiv IDs, or file paths aloud.
- CRITICAL: never attempt to pronounce Lakota or other Indigenous-language words.
When one appears, either describe it ("the Lakota word for 'plums'") or spell it
slowly letter by letter, naming diacritics ("u with a nasal hook, k, i with an
accent..."). Machine pronunciation of these words teaches learners errors.
- 3 to 6 minutes of speech. Start with a one-sentence summary of the episode.
NOTES:
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