2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 7 , Issue 2 , PP: 79-90, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Harsh Taneja 1 * , Abhinav 2 , Apoorv 3 , Himanshu Mangal 4 , Naman Agarwal 5
Doi: https://doi.org/10.54216/FPA.070202
Coronavirus, the pandemic due to which about 4 million have lost their lives and counting, is still on. Many scientists and researchers are trying to find ways to detect coronavirus as soon as possible in the human body so that they can start their medication and precaution as soon as possible. Still, due to lack of lab facilities, the RT-PCR is taking more than three days to give the report, and in the meanwhile, patients get serious and life in danger. So in this paper, we proposed an audio-based coronavirus detection technique in which we can get results in minutes. Coronavirus is a respiratory disease, and the sound produced while breathing can tell us about the presence of coronavirus. Audio-based detection was already used for the detection of asthma, pneumonia. So, in this paper, we implemented a combination of machine learning and deep learning techniques to find the presence of Covid-19, and the model has an accuracy of 78% and an f1 score of 74%. This technique can be used as a starting point for just audio data to diagnose diseases and save lives.
COVID-19, Cough, Voice, Machine Learning, VGG-19, Classifiers, KNN, Audio Analysis
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