# 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.