论文标题
COVID-19的音频，语音，语言和信号处理：全面概述
Audio, Speech, Language, & Signal Processing for COVID-19: A Comprehensive Overview
论文作者
论文摘要
冠状病毒（COVID-19）大流行一直是2020年全球研究的重点。从收集Covid-19患者的数据到对病毒的检测进行筛查的几项努力是严格进行的。 COVID-19症状的主要部分与呼吸系统的功能有关，呼吸系统对人类语音生产系统的影响很大。这使研究重点是识别Covid-19在语音和其他人类产生的音频信号中的标记。在本文中，我们概述了使用人工智能技术进行的语音和其他音频信号，语言和一般信号处理的工作，以筛选，诊断，监视和传播有关Covid-19的意识。我们还简要描述了与检测到迄今为止进行的COVID-19症状有关的研究。我们渴望这些集体信息将在开发自动化系统中很有用，这可以在199号的背景下使用非引人注目且易于使用的模式，例如音频，语音和语言。
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.
