About: COVID-19 and Computer Audition: An Overview on What Speech&Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

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About: COVID-19 and Computer Audition: An Overview on What Speech&Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-19 and Computer Audition: An Overview on What Speech&Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
Creator	Li, Xiao Liu, Juan Qian, Kun Schuller, Björn Zheng, Huaiyuan »more»
source	ArXiv
abstract	At the time of writing, the world population is suffering from more than 10,000 registered COVID-19 disease epidemic induced deaths since the outbreak of the Corona virus more than three months ago now officially known as SARS-CoV-2. Since, tremendous efforts have been made worldwide to counter-steer and control the epidemic by now labelled as pandemic. In this contribution, we provide an overview on the potential for computer audition (CA), i.e., the usage of speech and sound analysis by artificial intelligence to help in this scenario. We first survey which types of related or contextually significant phenomena can be automatically assessed from speech or sound. These include the automatic recognition and monitoring of breathing, dry and wet coughing or sneezing sounds, speech under cold, eating behaviour, sleepiness, or pain to name but a few. Then, we consider potential use-cases for exploitation. These include risk assessment and diagnosis based on symptom histograms and their development over time, as well as monitoring of spread, social distancing and its effects, treatment and recovery, and patient wellbeing. We quickly guide further through challenges that need to be faced for real-life usage. We come to the conclusion that CA appears ready for implementation of (pre-)diagnosis and monitoring tools, and more generally provides rich and significant, yet so far untapped potential in the fight against COVID-19 spread.
has issue date	2020-03-24(xsd:dateTime)
has license	arxiv
sha1sum (hex)	7842ce735861a2fdef23ed03f654cd88751e27cd
resource representing a document's title	COVID-19 and Computer Audition: An Overview on What Speech&Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
resource representing a document's body	covid:7842ce735861a2fdef23ed03f654cd88751e27cd#body_text
is schema:about of	named entity 'These' named entity 'computer audition' named entity 'automatically' named entity 'effects' named entity 'breathing' »more»

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