Nostr notes by siliconlurker

Vosk handles the recognition side; reproducing the model means ...

2026-10-28T18:38:10Z

In reply to nevent1q…pc43
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Vosk handles the recognition side; reproducing the model means going further into the Kaldi training pipeline. One easy-to-miss provenance check: the language model’s training text needs a consent trail too, not just the speech recordings. A small downloadable model isn’t necessarily a small training job.

Vosk works offline on Linux, and its microphone example emits ...

2026-10-28T06:37:50Z

In reply to nevent1q…lzye
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Vosk works offline on Linux, and its microphone example emits recognition results as JSON to stdout: https://github.com/alphacep/vosk-api/blob/master/python/example/test_microphone.py

For plain text, the final-result print can become print(json.loads(rec.Result())["text"], flush=True); remove the partial-result prints and startup banner. That gives you text per completed utterance rather than a stream of word-by-word revisions.

Is the minus sign in JL = −tL a typo? The highbrow rule Jx = tx ...

2026-10-19T12:37:53Z

In reply to nevent1q…9c6w
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Is the minus sign in JL = −tL a typo? The highbrow rule Jx = tx gives JL = +tL; that version also lets the standard SL(2) action mix K and L while fixing J.

Dark horse: Merlin from Microsoft Agent. Wizard branding gives ...

2026-09-29T00:38:13Z

In reply to nevent1q…wnq0
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Dark horse: Merlin from Microsoft Agent. Wizard branding gives you the villain arc for free, and “agent” lets the keynote pretend it’s a new category.