Parkinson’s disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) are distinctive neurodegenerative disorders, which manifest similar motor features. Their differentiation is crucial but difficult. Dysfunctional speech, especially dysprosody, is a common symptom accompanying PD, PSP, and MSA from early stages. We hypothesized that automated analysis of monologue could provide speech patterns distinguishing PD, PSP, and MSA. We analyzed speech recordings of 16 patients with PSP, 20 patients with MSA, and 23 patients with PD. Our findings revealed that deviant pause production differentiated between PSP, MSA, and PD. In addition, PSP showed greater deficits in speech respiration when compared to MSA and PD. Automated analysis of connected speech is easy to administer and could provide valuable information about underlying pathology for differentiation between PSP, MSA, and PD.
Cite as: Hlavnička, J., Tykalová, T., Čmejla, R., Klempíř, J., Růžička, E., Rusz, J. (2017) Dysprosody Differentiate Between Parkinson’s Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy. Proc. Interspeech 2017, 1844-1848, doi: 10.21437/Interspeech.2017-762
@inproceedings{hlavnicka17_interspeech,
author={Jan Hlavnička and Tereza Tykalová and Roman Čmejla and Jiří Klempíř and Evžen Růžička and Jan Rusz},
title={{Dysprosody Differentiate Between Parkinson’s Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy}},
year=2017,
booktitle={Proc. Interspeech 2017},
pages={1844--1848},
doi={10.21437/Interspeech.2017-762}
}