Classifying Parkinson's Disease Using Speech Features
Author:
Affiliation:
1. Galala University,Faculty of Computer Science and Engineering,Suez,Egypt,435611
2. Intelligence-Kferelshikh University-kaferelshikh,Machine learning and information retrieval-faculty of artificial
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10651578/10651587/10652689.pdf?arnumber=10652689
Reference14 articles.
1. Parkinson disease,2022
2. Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
3. Machine learning approaches to identify Parkinson's disease using voice signal features
4. A Machine Learning System for the Diagnosis of Parkinson’s Disease from Speech Signals and Its Application to Multiple Speech Signal Types
5. Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease
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