AI-Based human audio processing for COVID-19: A comprehensive overview

Gauri Deshpande; Anton Batliner; Björn W. Schuller

doi:10.1016/j.patcog.2021.108289

AI-Based human audio processing for COVID-19: A comprehensive overview

Gauri Deshpande, Anton Batliner, Björn W. Schuller

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

Abstract

The Coronavirus (COVID-19) pandemic impelled several research efforts, from collecting COVID-19 patients’ data to screening them for virus detection. Some COVID-19 symptoms are related to the functioning of the respiratory system that influences speech production; this suggests research on identifying markers of COVID-19 in speech and other human generated audio signals. In this article, we give an overview of research on human audio signals using ‘Artificial Intelligence’ techniques to screen, diagnose, monitor, and spread the awareness about COVID-19. This overview will be useful for developing automated systems that can help in the context of COVID-19, using non-obtrusive and easy to use bio-signals conveyed in human non-speech and speech audio productions.

Original language	English
Article number	108289
Journal	Pattern Recognition
Volume	122
DOIs	https://doi.org/10.1016/j.patcog.2021.108289
State	Published - Feb 2022
Externally published	Yes

Keywords

Audio processing
COVID-19
Computational paralinguistics
Digital health

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10.1016/j.patcog.2021.108289

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title = "AI-Based human audio processing for COVID-19: A comprehensive overview",

abstract = "The Coronavirus (COVID-19) pandemic impelled several research efforts, from collecting COVID-19 patients{\textquoteright} data to screening them for virus detection. Some COVID-19 symptoms are related to the functioning of the respiratory system that influences speech production; this suggests research on identifying markers of COVID-19 in speech and other human generated audio signals. In this article, we give an overview of research on human audio signals using {\textquoteleft}Artificial Intelligence{\textquoteright} techniques to screen, diagnose, monitor, and spread the awareness about COVID-19. This overview will be useful for developing automated systems that can help in the context of COVID-19, using non-obtrusive and easy to use bio-signals conveyed in human non-speech and speech audio productions.",

keywords = "Audio processing, COVID-19, Computational paralinguistics, Digital health",

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language = "English",

volume = "122",

journal = "Pattern Recognition",

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AB - The Coronavirus (COVID-19) pandemic impelled several research efforts, from collecting COVID-19 patients’ data to screening them for virus detection. Some COVID-19 symptoms are related to the functioning of the respiratory system that influences speech production; this suggests research on identifying markers of COVID-19 in speech and other human generated audio signals. In this article, we give an overview of research on human audio signals using ‘Artificial Intelligence’ techniques to screen, diagnose, monitor, and spread the awareness about COVID-19. This overview will be useful for developing automated systems that can help in the context of COVID-19, using non-obtrusive and easy to use bio-signals conveyed in human non-speech and speech audio productions.

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AI-Based human audio processing for COVID-19: A comprehensive overview

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Keywords

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