Ghost Voice Intelligence Documentation
Technical documentation for teams evaluating Ghost as the intelligence layer behind adaptive AI voice delivery.
Platform Overview
Ghost Voice Intelligence is a voice control plane that sits between generated text and downstream synthesis providers. It governs pacing, emotional contour, emphasis, provider selection, and session continuity in real time.
- Runs above existing providers instead of replacing them
- Maintains session-aware delivery and voice continuity
- Applies learning signals from live interaction outcomes
Core Concepts
The platform is organized around behavior modeling instead of raw synthesis alone. Applications submit text, metadata, and voice objectives; Ghost resolves the delivery plan and dispatches to the best-fit provider path.
- Prosody profile: pacing, rhythm, pause strategy, emphasis weighting
- Emotion blend: primary and secondary affect with intensity curves
- Session memory: continuity anchors and learned adaptation state
- Execution mode: realtime, balanced, or high_quality synthesis
Operational Model
Production teams typically integrate Ghost in front of customer-facing AI voice systems where trust, conversion, and conversational realism matter. The service can be introduced incrementally at the orchestration layer without a full stack rewrite.
- Low-latency provider routing with fallback behavior
- Observability hooks for scoring, latency, and output quality
- Policy and security controls for enterprise environments