Unrecognized speakers now get stable IDs like "unknown_a7f3" instead
of None. Uses online clustering of Resemblyzer embeddings:
- Matches against tracked anonymous speakers (cosine > 0.70)
- Updates running average embedding on re-identification
- Creates new ID from SHA-256 hash of quantized embedding
- Expires after 1 hour of silence, max 10 tracked simultaneously
New API: POST /speakers/promote?anon_id=unknown_a7f3&name=Alex
Promotes an anonymous speaker to enrolled using their averaged embedding.
Flow: unknown person speaks → "unknown_a7f3" → you ask "who's that?" →
promote to "Bob" → now recognized by name going forward.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds voice-based speaker ID triggered by YAMNet speech detection.
New speaker_id.py module with SQLite-backed voice enrollment and
cosine similarity matching. Endpoints: POST /speakers/enroll,
POST /speakers/enroll-from-mic, GET /speakers, DELETE /speakers/{name}.
Orange LED animation during enrollment.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
