A novel fusion architecture for detecting Parkinson’s Disease using semi-supervised speech embeddings

A novel fusion architecture for detecting Parkinson’s Disease using semi-supervised speech embeddings

We introduce a framework for screening Parkinson’s disease (PD) using English pangram utterances. Our dataset includes 1306 participants (392 with PD) from both home and clinical settings, covering diverse demographics (53.2% female). We used deep learning embeddings from Wav2Vec 2.0, WavLM, and Ima...

Full description

Saved in:
Bibliographic Details
Main Authors: Tariq Adnan, Abdelrahman Abdelkader, Zipei Liu, Ekram Hossain, Sooyong Park, Md Saiful Islam, Ehsan Hoque
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-025-00956-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items