Multiple Sclerosis (MS) is a chronic, degenerative neurological disease that affects the central nervous system (CNS), significantly influencing motor, sensory, cognitive, and linguistic functions. This study explores the utility of objective methods such as acoustic analysis, specifically using Praat software, for identifying voice disorders in individuals with multiple sclerosis. The research examines the acoustic characteristics of voices among those diagnosed with MS and assesses the prevalence of voice disorders in this group. Our sample included 8 participants, consisting of 6 MS patients and 2 healthy controls, and focused on comparing a range of vocal parameters: fundamental frequency (F0), sound pressure level (SPL), jitter, shimmer, harmonics-to-noise ratio (NHR), maximum phonation time (TMF), and voice breaks (V, B). Findings reveal that 50% of the MS patients displayed voice disorders through acoustic evaluation, suggesting that Praat software is an effective tool for ongoing monitoring of voice changes in MS patients throughout their diagnosis and treatment.

Multiple Sclerosis, Voice Disorders, Acoustic Analysis, Praat Software.