Enhancement of Accuracy in Speech Recognition System for Detection of Covid-19 using Support Vector Machine

The goal of this study is todetect Covid-19 by innovative speech recognition using Support Vector Machine (SVM) and comparing its accuracy with Random Forest (RF). Speech recognition using SVM is considered as group 1 and Random Forest is considered as group 2, where each group has 20 samples. In or...

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Bibliographic Details

Published in:	2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) pp. 1608 - 1613
Main Authors:	Jhansi, Rallapalli, Uganya, G.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16-12-2022
Subjects:	COVID-19 Covid-19 Detection Innovative Speech Recognition Machine Learning Predictive models Radio frequency Random Forest Speech recognition Statistical analysis Support Vector Machine Support vector machines
Online Access:	Get full text
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