Make meeting lifecycle stateful

2026-05-27 12:55:17 +02:00
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+# Add Speaker Identity Learning
+
+## Why
+Meeting Assistant currently receives diarized speaker labels from ASR backends, but those labels are backend-local names such as `Guest01` or `Speaker 0`. Users need transcripts to converge toward real attendee names without manually maintaining a roster.
+
+## What Changes
+- Add a local SQLite-backed speaker identity store under the user's application data folder.
+- Store a small bounded set of WAV snippets per learned speaker identity.
+- Match unknown diarized speakers against known identities during and after transcription using a dedicated Azure Speech diarization verifier component separate from the configured ASR pipeline.
+- Confirm matches before applying them, then rewrite transcript speaker labels and use the known name for later segments.
+- Learn new identities automatically from unmatched diarized speakers using meeting attendees as candidate names.
+- Eliminate candidate names across future meetings until a canonical speaker name is known.
+
+## Impact
+- Adds EF Core SQLite as a runtime dependency.
+- Adds speaker identity services and a dedicated Azure Speech identity matching component to the transcription flow.
+- Adds persisted local voice snippets; these are explicit identity artifacts, not temporary full recordings.