Dear Members,
Does COVID-19 make a unique sound? Are you interested in speech and audio signal processing which can revolutionize remote respiratory health diagnosis? Yes! - We are happy to share details of a session we are organizing. Please consider participating, and sharing this information with the wider research community.
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DiCOVA: Diagnosis of COVID-19 using Acoustics, Special Session at Interspeech 2021
Registration: Started since 5th Feb, 2021
Website:
https://dicova2021.github.io***************
About:
While the list of COVID-19 symptoms is regularly updated, it is established that in symptomatic cases, COVID-19seriously impairs normal functioning of the respiratory system. Does this alter the acoustic characteristics of breathe, cough, and speech sounds? This is an open question waiting for scientific insights. The DiCOVA Session/Challenge is designed to find scientific and engineering insights to the question by enabling participants to analyze an acoustic dataset gathered from COVID-19 positive and non-COVID-19 individuals. Selected peer-reviewed findings will be presented in a special session at the Interspeech 2021, a flagship conference of the global speech science and technology community. to be held from Aug 31-Sept 3, 2021.
Large scale testing, social distancing, and face masks have been critical measures to help contain the spread of the COVID-19 infection. Even with the onset of the vaccination programs, the WHO highlights large scale testing and precautionary measures to be continued for some time. A COVID-19 diagnosis methodology based on acoustic signal analysis, if successful, can provide a remote, scalable, and economical means for testing of individuals. This can supplement the existing nucleotide based testing methods, such as RT-PCR and RAT. The timeliness, and the global societal importance of the challenge warrants focussed effort from researchers across the globe, including from the fields of medical and respiratory sciences, speech and audio processing, and machine learning. We look forward to your participation!
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In case you will like to help us in our dataset building effort, please feel free to contact us and/or check the link:
https://coswara.iisc.ac.in/Take care.
Best regards,
Neeraj Sharma
On behalf of Team DiCOVA