Speech Representations to Monitor Parkinson Disease Progression
Vásquez-Barrientos WA, Escobar-Grisales D, Ríos-Urrego CD, Vargas-Bonilla JF, Orozco-Arroyave JR (2026)
Publication Type: Conference contribution
Publication year: 2026
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 2701 CCIS
Pages Range: 180-188
Conference Proceedings Title: Communications in Computer and Information Science
Event location: Cali, COL
ISBN: 9783032082022
DOI: 10.1007/978-3-032-08203-9_15
Abstract
Parkinson disease (PD) is the second most prevalent neurological disorder in the world. Although PD diagnosis is relevant due to possible misdiagnosis, disease monitoring is also a critical necessity, especially for patients who live in the countryside, where accessing neurologist experts is not feasible. To contribute to the process of designing strategies for remote monitoring of patients, this work evaluates the suitability of different dimensions of speech, namely articulation, prosody, and phonemic identifiability, to effectively model disease progression. In this study, two different cohorts of participants are considered. The PC-GITA corpus is used as a training set, and a cohort with fifteen patients recorded three times along a period of three years approximately is considered to perform the longitudinal test. Support vector machine classifiers (SVMs) are optimized in training. Afterward, the distance of each test sample to the SVM separating hyperplane is used as a biomarker to evaluate whether the model can effectively predict disease progression. Promising results are observed, indicating that articulation and phonological features are suitable to perform automatic evaluation of PD progression.
Involved external institutions
Colombia (CO)How to cite
APA:
Vásquez-Barrientos, W.A., Escobar-Grisales, D., Ríos-Urrego, C.D., Vargas-Bonilla, J.F., & Orozco-Arroyave, J.R. (2026). Speech Representations to Monitor Parkinson Disease Progression. In Juan Carlos Figueroa-García, Elvis Eduardo Gaona-García, Jesús Alfonso López-Sotelo, John Freddy Moreno-Trujillo (Eds.), Communications in Computer and Information Science (pp. 180-188). Cali, COL: Springer Science and Business Media Deutschland GmbH.
MLA:
Vásquez-Barrientos, Wilmar Alesander, et al. "Speech Representations to Monitor Parkinson Disease Progression." Proceedings of the 12th Workshop on Engineering Applications, WEA 2025, Cali, COL Ed. Juan Carlos Figueroa-García, Elvis Eduardo Gaona-García, Jesús Alfonso López-Sotelo, John Freddy Moreno-Trujillo, Springer Science and Business Media Deutschland GmbH, 2026. 180-188.
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