Comparison of Machine Learning Architectures for Acoustic Analysis of Vowel Articulation Among Parkinson’s Disease Patients (P3-5.008)

Our aim was to develop and compare machine learning (ML) algorithms for identification of Parkinson’s disease (PD) patients via acoustic analysis of vowel articulation.

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000210354
Primary Topic
Voice and Speech Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Machine Learning Architectures for Acoustic Analysis of Vowel Articulation Among Parkinson’s Disease Patients (P3-5.008)

Sanaz Attaripour, Kotaro Tsutsumi, Peter Chang
Neurology
Voice and Speech Disorders
article

Comparison of Machine Learning Architectures for Acoustic Analysis of Vowel Articulation Among Parkinson’s Disease Patients (P3-5.008)

Sanaz Attaripour, Kotaro Tsutsumi, Peter Chang
article en

Abstract

Our aim was to develop and compare machine learning (ML) algorithms for identification of Parkinson’s disease (PD) patients via acoustic analysis of vowel articulation.

NeurologyVol. 104(7_Supplement_1)
University of California, Irvine (US)
Openalex Percentile: Top 91%
Voice and Speech Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.