In this paper a classification algorithm for Parkinson's Disease screening is proposed. Code
executes the processing of specific voice signals recorded by healthy and ill subjects. In the …

This work is focused on deep learning methods, such as feedforward neural network (FNN)
and convolutional neural network (CNN), for pathological voice detection using mel …

Since 2019 all countries of the world have faced the rapid spread of the pandemic caused
by the COVID-19 coronavirus infection, the fight against which continues to the present day …

Abstract The coronavirus disease (COVID-19) first appeared at the end of December 2019
and is still spreading in most countries. To diagnose COVID-19 using reverse transcription …

This study proposes a new deep learning-based method that demonstrates high
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …

Objective Among the different procedures used by the ENT, acoustic analysis of voice has
become widely used for correct diagnosis of dysphonia. The instrumental measurements of …

Acoustic analysis using signal processing tools can be used to extract voice features to
distinguish whether a voice is pathological or healthy. The proposed work uses spectrogram …

A non-invasive cum robust voice pathology detection and classification architecture is
proposed in the current manuscript. In place of the conventional feature-based machine …

Today, innovative solutions are being developed in the fight against COVID19 not only to
help patients recover from this disease but also to prevent everyday practices that would …

The outbreak of COVID-19 has caused an exponential increase in mortality rate globally and
has dealt a devastating blow to nations all over the world. This unforeseen calamity needs to …