meeting-assistant/openspec/changes/add-speaker-identity-learning/proposal.md

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.