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health1d ago
Taking Apart the Mystery of Vocal Fatigue
- The study, funded by NIH, aims to personalize vocal fatigue solutions through multi-modal data and machine learning.
- Ghasemzadeh will use wearable sensors to track voice use and monitor phonatory function throughout the day.
- The approach seeks real-time AI analysis to identify early signs of vocal strain and predict fatigue.
- Ghasemzadeh emphasizes personalized voice care, moving beyond one-size-fits-all medical approaches.
- The lab at UCF’s Center hosts imaging, aerodynamic, and acoustic data collection for voice research.
- The project builds on a history of curiosity, tracing back to childhood experiences with disassembling toys.
- Ghasemzadeh joined UCF in 2025 and will teach in a new doctoral program in communication sciences and disorders.
- The research seeks to quantify how factors like environment, voice usage, and personality affect vocal fatigue.
- The NIH-funded work aims to develop tailored recommendations for voice care and recovery.
- The broader goal is to advance clinical tools for people with hearing loss or voice disorders.
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