Listening to MS: AI-assisted speech analysis for diagnosis and fatigue prediction (COMMITMENT)

Frontiers in Digital Health 2026 Open access

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Authors: Helly Hammer, Monica Gonzalez-Machorro, Pascal Hecker, Uwe Reichel, Alisha Zmutt, Lisa Pedrotti, Andrew Chan, Florian Eyben, Hesam Sagha, Matthias Kahlau, Bert Arnrich, Björn W. Schuller
+1 more Robert Hoepner
DOI: 10.3389/fdgth.2026.1721274
Cited by: 1
References: 23

Abstract

Background: Identification of fatigue in people with Multiple Sclerosis (pwMS) is still mainly based on subjective assessments due to the lack of objective diagnostic tools. We aimed to identify vocal biomarkers to differentiate between pwMS with and without fatigue. Methods: = 50, EDSS

Fields of Study & Subjects

Multiple Sclerosis Research Studies Voice and Speech Disorders Stuttering Research and Treatment

Publication details

Journal / source
Frontiers in Digital Health
Publisher
Frontiers Media SA
Volume
8
Pages
1721274–1721274
Publication date
29 May 2026
Language
EN