Audio, Speech, Language, & Signal Processing for COVID-19: A Comprehensive Overview

• URL: http://arxiv.org/abs/2011.14445v1
• Date: Sun, 29 Nov 2020 21:33:59 GMT
• Title: Audio, Speech, Language, & Signal Processing for COVID-19: A Comprehensive Overview
• Authors: Gauri Deshpande, Bj\"orn W. Schuller
• Abstract summary: The Coronavirus (COVID-19) pandemic has been the research focus world-wide in the year 2020. A major portion of COVID-19 symptoms are related to the functioning of the respiratory system. This drives the research focus towards identifying the markers of COVID-19 in speech and other human generated audio signals.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The Coronavirus (COVID-19) pandemic has been the research focus world-wide in the year 2020. Several efforts, from collection of COVID-19 patients' data to screening them for the virus's detection are taken with rigour. A major portion of COVID-19 symptoms are related to the functioning of the respiratory system, which in-turn critically influences the human speech production system. This drives the research focus towards identifying the markers of COVID-19 in speech and other human generated audio signals. In this paper, we give an overview of the speech and other audio signal, language and general signal processing-based work done using Artificial Intelligence techniques to screen, diagnose, monitor, and spread the awareness aboutCOVID-19. We also briefly describe the research related to detect accord-ing COVID-19 symptoms carried out so far. We aspire that this collective information will be useful in developing automated systems, which can help in the context of COVID-19 using non-obtrusive and easy to use modalities such as audio, speech, and language.

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