AINeutralarXiv – CS AI · 18h ago5/10
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A Hierarchical Feature Engineering Framework for Automated Classification of Phonotraumatic and Non-Phonotraumatic Vocal Hyperfunction
Researchers developed a hierarchical feature engineering framework to classify vocal hyperfunction subtypes using non-invasive neck-surface acceleration monitoring. The machine learning approach achieved 89.1% AUC for phonotraumatic cases and 72.8% for non-phonotraumatic cases, with coupling features proving crucial for distinguishing both conditions from healthy controls.