EVBAP
EVBAP — the Emergency Voice & Behavioral Analysis Platform — analyzes the acoustic signal of emergency calls in real time, detecting stress, fear, and deception cues a transcript alone would miss, so dispatchers triage and respond faster.
- 92.5% voice-stress detection accuracy
- Bilingual Arabic/English analysis
- AES-256-GCM encrypted audio
The problem
Emergency-call operators rely on manual note-taking and subjective judgment to gauge a caller's real state, with no automated way to validate the emotional context of a call against what's being said. EVBAP analyzes vocal stress markers — pitch, jitter, shimmer, speech rate — in real time and surfaces a risk signal alongside the transcript so operators can challenge false reports and catch distress hidden by whispers or coached language.
Capabilities
What EVBAP does
- Real-time acoustic stress and emotion analysis on live calls
- Hybrid CNN + LSTM model for temporal voice-pattern classification
- Automated severity and priority scoring for dispatch
- Bilingual Arabic/English call handling
- Encrypted audio capture with automated retention policies
- Operator training curriculum and QA testing framework
- Full audit logging across every call and flag
Built for compliance
Audio is encrypted with AES-256-GCM at rest, retained on an automated purge schedule, and processed on sovereign, in-country infrastructure to meet regional data-protection requirements.
See EVBAP in action.
Book a working session and we'll walk through it live with your use case.