A
licenseNot graded
qualityB
maintenanceEnables modeling of ocular light exposure, forecasting melatonin suppression delays from digital screens, and generating timed digital-sunset schedules for sleep readiness.
7
MIT
genpark-personal-agent-vocal-fatigue-acoustic-strain-skill
by Alpha-Park
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-personal-agent-vocal-fatigue-acoustic-strain-skill
GenPark Personal Agent Vocal Fatigue Acoustic Strain quantifies vocal fold collision doses and prescribes restorative SOVT protocols using Ingo Titze's vocal biomechanics framework.
flowchart TD
A[Speaking Minutes, Sound Level dB & Pitch F0] --> B[Titze Vocal Collision Dose Integrator]
B --> C[Vocal Fold Collision Count & Impact Stress]
D[Cumulative Speaking Hours & Hydration Score] --> E[Dysphonia & Laryngeal Fatigue Risk Model]
C & E --> F[Personalized Vocal Rest & SOVT Recovery Protocol]Features
Vocal Collision Dose Tracking: Models hundreds of thousands of physical vocal fold impacts during continuous speech.
Dysphonia Risk Scoring: Estimates hoarseness vulnerability incorporated with mucosal hydration.
Restorative SOVT Prescriptions: Recommends straw phonation, lip trills, and timed silent buffers.
Related MCP server: Personal Agent Sleep Debt Repayment Planner
Quickstart
from client import PersonalAgentVocalFatigueAcousticStrain
vocal = PersonalAgentVocalFatigueAcousticStrain()
res = vocal.evaluate_dysphonia_and_vocal_fatigue_risk(4.0, 0.75)
print("Fatigue Risk Score:", res["vocal_fatigue_risk_score"])FastMCP Integration
python -m genpark-personal-agent-vocal-fatigue-acoustic-strain-skill.mcp_serverLicense
MIT
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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