IDENTITY LAYER
Pyannote based speaker extraction separates overlapping voices with high precision.
Vector database (Chroma/FAISS) stores voice signatures locally. Recognized across sessions.
Strict enrollment flows. "Who is speaking?" answered locally without biometric cloud upload.
Queryable API allows agents to recall: "What did Speaker A say about the budget last week?"
Active Speakers
3 Detected
Profile Match
Speaker_02 (98.4%)
Memory Context
Session #4 linked
VECTOR DB: CONNECTED • 128 DIMENSIONS • LOCAL STORAGE