VoxVector Overview
VoxVector is an AI-assisted vocal and audio deception detection system being developed to analyze interview and conversational audio for evidence that may support, contradict, or fail to establish a hypothesis of potential deception.
VoxVector is an AI-assisted vocal and audio deception detection system being developed to analyze interview and conversational audio for evidence that may support, contradict, or fail to establish a hypothesis of potential deception.
Canonical status
Status: Documented
Classification: Crown Labs System
Readiness signal: 50% documentation readiness signal
Source governance
Authority: docs/crownlabsbible/
Source file: docs/crownlabsbible/04-product-dossiers/VoxVector/overview.md
Update rule: edit the dossier first, then regenerate metadata.
Valuation reference
See canonical valuation dossier
What it is
VoxVector is an AI-assisted vocal and audio deception detection system being developed to analyze interview and conversational audio for evidence that may support, contradict, or fail to establish a hypothesis of potential deception.
The product is intentionally broader than a conventional voice-feature analyzer. It is designed to assess recording eligibility and reliability, collect structured acoustic and conversational evidence, preserve provenance, identify convergence and conflict between observations, and ultimately support validated task-specific deception classification.
The current product is a functional observational research foundation. It is not yet scientifically validated to make reliable deception determinations and does not currently produce a validated deception probability or deception verdict.
Product signals
Core capabilities
Metadata checks
- Canonical source: docs/crownlabsbible/04-product-dossiers/VoxVector/overview.md
- Classification: Crown Labs System
- Status: Documented