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T01 - Digital biomarkers for speech changes in Parkinson‘s disease

The project aims to transfer foundational knowledge about phonetic-prosodic changes in the speech system of neurotypical and pathological speakers into a clinical context. Together with our industry partner ki:elements GmbH, we are developing an algorithm that reliably detects clinically relevant speech changes in Parkinson’s disease using digital biomarkers. The algorithm is intended for long-term use in clinical practice to help preserve the communication abilities of Parkinson's patients through timely speech therapy.

Team

Student Assistants

Timnah Kaufmann

Julia Thoß

Publications

To appear

  • Thies, Tabea, Philipp Buech & Anne Hermes. To appear. A comparison of capturing speech breathing using Respiratory Inductive Plethysmography and Electromagnetic Articulography. PLoS One.

2026

2025