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Re:Show HN: How Random Are You? by coolThingsFirst on Tuesday October 13, 2026 @11:24PM (#50082002)
Curious to know what model they use for speech recognition?

Not familiar with the sota if someone can chime in.

Re:Show HN: How Random Are You? by vunderba on Wednesday October 14, 2026 @12:03AM (#50082252)
OP here - I went with Vosk because it's pretty trivial to lock input down to a set vocabulary (in this case numbers) and from my testing works relatively well on most browsers. (webkit, firefox, etc)

https://github.com/alphacep/vosk-api

Re:Show HN: How Random Are You? by mrkn1 on Wednesday October 14, 2026 @12:45PM (#50090674)
this is such a poor model, I've tried it before. Try yapsnap it has better word error rate and runs super fast on CPU. https://github.com/kouhxp/yapsnap/
Re:Show HN: How Random Are You? by vunderba on Wednesday October 14, 2026 @02:18PM (#50092372)
Thanks for the suggestion - I've been looking yadsnap over but it seems like the ONNX model for english is significantly larger than the one used by vosk (30mb versus 150mb) so that would be my only hesitation to use it.

Maybe there's a way to shrink it down given I only need to support a limited vocabulary domain...

Re:Show HN: How Random Are You? by mrkn1 on Wednesday October 14, 2026 @02:34PM (#50092697)
Yup, it's q8. I would try q4 and q2 and if you are still unhappy with MB size, limited vocab.