speaker segmentation

Discover how one-model streaming speech transcription links names and data in real time

Most speech transcription treats names as just sounds, then needs a second pass to figure out who you meant. Arc-Transcriber skips that entirely. Every 100 milliseconds, one model returns the transcript *and* links names to a list you provide, flags unknown speakers, surfaces numbers and dialog acts, even notes if audio is clipping. It collapses the usual ASR-NER-LLM pipeline into 200-plus trained decision heads. That means live fact-checking against your roster happens inside the stream, not after.