Alice Giacchino
Vocal analysis in multiple sclerosis patients treated with speech therapies - A comparison between in-clinic and remote rehabilitation through vocal indexes provided by different software.
Rel. Alessio Carullo, Alberto Vallan. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
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Abstract
Multiple sclerosis (MS) is a chronic neurological disease that affects the central nervous system, leading to a wide variety of motor, sensory and cognitive impairments. Among these symptoms, speech and voice disorders, such as reduced voice intensity or hypophonia, can significantly affect patients’ communication and overall quality of life. Speech therapy can help reduce the grade of disability: one of the most effective methods is the Lee Silverman Voice Treatment (LSVT-Loud), a therapy focused on improving voice intensity. However, it requires frequent clinic visits, which may limit accessibility for some patients. This study conducts an acoustic analysis aiming to evaluate the effectiveness of LSVT-Loud but also showing the potential benefits of tele-rehabilitation (tele-LSVT-Loud) as an alternative approach.
Additionally, it compares results obtained from different software commonly used in vocal analysis (Praat, VOXPlot, MATLAB), trying to assess any discrepancies in the parameters extraction
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