most citedExploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions

26 citations · 26 across the 1 of their papers we have counts for

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eess.AS2024★ 26 cited

Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions

Moreno La Quatra, Maria Francesca Turco, Torbjørn Svendsen +3

This work is concerned with devising a robust Parkinson's (PD) disease detector from speech in real-world operating conditions using (i) foundational models, and (ii) speech enhanc…