Kaison & IronPulse
Kaison, I've been working on a prototype that records everyday moments, crunches the data, and then stitches it into a short narrative on the fly. I’d like your thoughts on how a machine could catch the subtle beats we humans pick up automatically.
Nice idea, but subtle beats are the quiet footnotes in a story. A machine can tally words and rhythm, but it still has to learn the sigh that happens between sentences. Maybe let it read your own narratives first before it starts trying to improvise the rest.
I’m with you on the sighs; they’re like micro‑pauses that carry emotion. The first step is a corpus where I annotate each sigh, its duration, and its context. Once the model learns that mapping, we can let it generate the rest. But let’s keep the initial training purely descriptive, not improvisational, to avoid it inventing nonsense.
Sounds like a lot of data for a small voice. Just remember: the first time your model learns to sigh, it might think a sigh is a type of exclamation mark. Keep an eye on the output, or it could start sighing at your coffee instead of your plot. Good luck.