Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction

Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction

Early detection for COVID-19 has now been widely developed. One of the methods used is cough audio detection. This research aims to classify cough audio. Audio feature extraction is performed using MFCC to obtain numerical features. Feature classification is done using SVM, Random Forest, and Naive...

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Bibliographic Details
Main Authors: Mohammad Reza Faisal, Muhammad Thoriq Hidayat, Dwi Kartini, Fatma Indriani, Irwan Budiman, Triando Hamonangan Saragih
Format: Article
Language:English
Published: Lublin University of Technology 2023-12-01
Series:Journal of Computer Sciences Institute
Subjects:
audio cough
SVM
Random Forest
Naive Bayes
Online Access:https://ph.pollub.pl/index.php/jcsi/article/view/4447
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