论文标题

COVID-19的音频,信号,语音和语言处理的概述

An Overview on Audio, Signal, Speech, & Language Processing for COVID-19

论文作者

Deshpande, Gauri, Schuller, Björn

论文摘要

最近,人们越来越关注创新,增强,建立和部署语音信号处理的应用,以便从冠状病毒(Covid-19)大流行中为人类提供援助和救济。许多带有语音计划的人工智能都被采取以应对当前情况,并为未来创造安全的环境。本文总结了重新搜索社区为帮助个人和社会在过去的3-4个月中使用语音信号处理在与Covid-19的斗争中所做的所有这些努力。我们还总结了在此方向上使用的深度技术,以在短时间内提出能力的解决方案。本文进一步概述了非语音方式的贡献,这些方式可能补充或作为音频和语音分析的灵感。此外,我们讨论了有关解决方案可用性,挑战和重大技术成就的观察结果。

Recently, there has been an increased attention towards innovating, enhancing, building, and deploying applications of speech signal processing for providing assistance and relief to human mankind from the Coronavirus (COVID-19) pandemic. Many AI with speech initiatives are taken to combat with the present situation and also to create a safe and secure environment for the future. This paper summarises all these efforts taken by the re-search community towards helping the individuals and the society in the fight against COVID-19 over the past 3-4 months using speech signal processing. We also summarise the deep techniques used in this direction to come up with capable solutions in a short span of time. This paper further gives an overview of the contributions from non-speech modalities that may complement or serve as inspiration for audio and speech analysis. In addition, we discuss our observations with respect to solution usability, challenges, and the significant technology achievements.

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