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Vocal Health
Intelligence.

Detecting vocal strain, fatigue, and physiological markers from audio. The research behind applying VocalDNA to voice health monitoring at population scale.

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Changes in vocal health manifest acoustically before they are perceptible to the speaker. The 512D VocalDNA profile captures these changes with sufficient resolution to detect early indicators of vocal stress.

Acoustic Health Markers

The system monitors: jitter (cycle-to-cycle pitch variation), shimmer (amplitude variation), harmonics-to-noise ratio, spectral tilt changes, and dynamic range compression — all indicators of vocal fatigue and strain that appear in the acoustic signal before the voice "sounds tired."

The voice tells you things about the body that the body hasn't told you yet. We are learning to listen.

Contents
Overview
Acoustic Health Markers
Baseline Profiling
Longitudinal Comparison
Related ResearchVocalDNA™ EngineVocalDNA Cloud
API
POST /cloud/v1/health/scan
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