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Related Experiment Video

Updated: Jan 17, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Embracing variability: toward proactive and precision-based voice science.

Eric J Hunter¹, Mark L Berardi¹

¹University of Iowa, Iowa City, Iowa, USA.

Logopedics, Phoniatrics, Vocology

|September 25, 2025

Summary

This summary is machine-generated.

Physiological variability in voice can be transformed into diagnostic information for personalized voice care. This approach enables individualized monitoring and proactive interventions, improving patient outcomes.

Keywords:

Luís Jesus Voice science individualized assessment precision medicine uncertainty variability vocal effort

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Area of Science:

Voice science
Biomedical engineering
Clinical diagnostics

Background:

Physiological variability is often disregarded as 'noise' in voice analysis.
Existing voice care lacks individualized monitoring and predictive risk assessment.
Cardiology and orthopedics have successfully integrated variability into diagnostics.

Purpose of the Study:

To propose a framework for transforming voice variability into diagnostic information.
To enable precision-based voice care through functional capacity assessment.
To develop individualized monitoring, risk assessment, and proactive intervention strategies.

Main Methods:

Developing a conceptual framework integrating vocal capacity, demand response, reserve, and recovery.
Applying rigorous measurement practices to physiological voice signals.
Analyzing variability patterns to identify functional thresholds and predict risks.

Main Results:

Demonstrated potential for individualized monitoring and predictive risk assessment in voice care.
Illustrated applications for teachers, singers, and neurological patients.
Showcased how variability can inform targeted interventions and recovery strategies.

Conclusions:

Variability-informed models can establish baselines and track change trajectories.
This approach aligns clinical strategies with functional sustainability.
Transforms uncertainty into actionable insights for research and clinical practice.