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.

翻译：Corona病毒(COVID-19)大流行是2020年全世界研究的重点,从收集COVID-19病人的数据到对他们进行检测以检测病毒的检测,已经做出了一些努力,COVID-19症状的主要部分与呼吸系统的运作有关,呼吸系统转而对人类言语制作系统产生严重影响,这促使研究的焦点集中在在语音和其他人类生成的音频信号中识别COVID-19的标志。在本文件中,我们概述了使用人工智能技术筛选、诊断、监测和传播对COVID-19的认识的语音和其他音频信号、语言和一般信号处理工作。我们还简要描述了迄今为止为检测相容COVID-19症状而进行的研究。我们期望,这种集体信息将有助于开发自动系统,在COVID-19中使用非侵扰性和易于使用的方式,例如音频、言语和语言,对COVID-19有所帮助。