Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics

Disease Delineation for Multiple Sclerosis, Friedreich Ataxia, and Healthy Controls Using Supervised Machine Learning on Speech Acoustics

Neurodegenerative disease often affects speech. Speech acoustics can be used as objective clinical markers of pathology. Previous investigations of pathological speech have primarily compared controls with one specific condition and excluded comorbidities. We broaden the utility of speech markers by...

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Bibliographic Details
Main Authors: Benjamin G. Schultz, Zaher Joukhadar, Usha Nattala, Maria del Mar Quiroga, Gustavo Noffs, Sandra Rojas, Hannah Reece, Anneke Van Der Walt, Adam P. Vogel
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Neurodegenerative disease
speech acoustics
machine learning
multiple sclerosis
Friedreich ataxia
dysarthria
Online Access:https://ieeexplore.ieee.org/document/10271378/

Internet

https://ieeexplore.ieee.org/document/10271378/

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