different from the same person sitting three meters from a room microphone. Q-Drant is actually

well suited to that. I would probably keep person ID, many speaker embedding records, rather than

trying to maintain one canonical centroid only. You can still calculate centroids, but preserve

the underlying samples. Then loosen the threshold intelligently. I think your instinct that B-Ri is

too reluctant to identify people is probably correct. But I'd introduce three confidence

bands rather than one threshold. High confidence, automatically assigned person. Medium assigned

tentatively internally, but permit contextual evidence to confirm it. Low, leave unknown. And

I'd require not merely closest speaker threshold, but also a margin over the second best candidate.

For example, conceptually, open quote, Damoon 0.82, Dad 0.59, Ben 0.48, auto-identify Damoon,

close quote, versus open quote, Damoon 0.73, Dad 0.71, don't auto-identify, close quote.

The second case is much more dangerous, despite 0.73 looking superficially respectable.

You can calibrate the actual numbers empirically from B-Ri,

rather than me.

Inventing a code.