SRPP: Unveiling Parkinson’s Disease Features for AI-driven Analysis: Relevance of Acoustics, Kinematics and Perception

Tabea Thies (IfL Phonetics, University of Cologne & Department of Neurology, University Hospital Cologne)
03 May 2024, 16h0017h30

In this presentation, the focus will be on the speech characteristics of people with Parkinson’s disease, highlighting the fact that speech changes should not be considered as a late symptom anymore but as an early marker of motor impairment. Given the heterogeneous presentation of both gross motor and speech motor symptoms, there is significant variability in the data. The individual progression of speech impairments and the diverse responses to treatment options continue to pose a challenge to comprehensively characterizing the ability to speak in people with Parkinson’s disease.

Advancements in machine learning and deep learning techniques have notably improved the capabilities of automatic speech analysis systems, enabling more precise and nuanced assessments of speech. Consequently, leveraging artificial intelligence could address recent research challenges by integrating speech features with clinical characteristics to establish robust, reliable, and objective speech-based biomarkers. This presentation will explore the potential of AI in addressing these challenges, elucidate potential data analysis methodologies, and discuss future applications in this domain.

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13 June 2024

Le LPP fête ses 50 ans

Le 13 juin 2024, le Laboratoire de Phonétique et Phonologie (CNRS & Sorbonne Nouvelle) commémorera ses 50 ans d’existence (1973-2023).