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Non-invasive pathological voice classifications using linear and non-linear classifiers
(Universiti Malaysia Perlis (UniMAP), 2010)
In this research work, a non-invasive method is conducted to diagnose the voice diseases
through acoustic analysis of voice signal. Three feature extraction methods are proposed based
on the time-domain energy variations, ...
A new hybrid intelligent system for accurate detection of Parkinson's disease
(Elsevier, 2014-03)
Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in ...
Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
(IOP Publishing, 2019)
Voice pathology analysis has been one of the useful tools in the diagnosis of the pathological voice. This method is non-invasive, inexpensive and reduces time required for analysis. This paper investigates the feature ...