2026-10-29 · America/Los_Angeles · 社区动态 · #5

Arc: a ~70 MB streaming speech model that transcribes links names and metadata to your own list as they're spoken, with no second model [p]

I built Arc-Transcriber, which does ASR-NL in 1-step. Every 100 ms, one model returns the transcript plus: - Names linked to a list you give it (a roster, contacts, product names); new names are flagged "not on the list" - Numbers with their values (scores, clocks, money, dates) - Speakers and roles; - Sound and channel events (telephone audio, clipping, poor audio) - Whether the speech was addressed to an assistant. - Inbuilt tags for dialog act, speaker segmentation and more. Total 200+ trained decision heads. The usual ASR, then NER, then entity-linking and then LLM chain is collapsed…

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