Neurológia pre prax 1/2026
Speech and language impairments in people with multiple sclerosis – assessment and digital biomarkers
From a speech therapist's perspective, multiple sclerosis causes speech (dysarthria), voice (dysphonia), and language difficulties. Currently, automated analysis is increasingly used to assess voice, speech, and language deficits, as it is much more accurate than perceptual assessment or standard tests. Acoustic analysis can be used to detect features that might be potential biomarkers for the early detection of multiple sclerosis or indicators of the severity of the disease. The aim of this paper is to present speech and language deficits in people with multiple sclerosis, outline the possibilities for their assessment using available tools with automated speech analysis, and present digital biomarkers at the voice, speech, and language level.
Keywords: multiple sclerosis, dysarthria, dysphonia, linguistic deficit, biomarker, automated analysis of speech, speech therapy.
