Automatic diagnosis of COVID-19 related respiratory diseases from speech
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14923-y.pdf
Reference18 articles.
1. Bagad P, Dalmia A, Doshi J et al (2020) Cough against covid: evidence of covid-19 signature in cough sounds. arXiv:200908790
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3. Bhuyan H K, Chakraborty C, Shelke Y et al (2022) Covid-19 diagnosis system by deep learning approaches. Expert Syst 39(3):e12,776
4. Bhuyan H K, Ravi V, Brahma B et al (2022) Disease analysis using machine learning approaches in healthcare system. Heal Technol 12(5):987–1005
5. Brown C, Chauhan J, Grammenos A et al (2020) Exploring automatic diagnosis of covid-19 from crowdsourced respiratory sound data. In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, pp 3474–3484
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1. Estimation of breathing signal and the respiratory parameters from the speech recordings using honey badger-based modular neural system;Multimedia Tools and Applications;2024-02-14
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