AI-Based human audio processing for COVID-19: A comprehensive overview.
Pattern Recognit
; 122: 108289, 2022 Feb.
Article
in English
| MEDLINE | ID: covidwho-1377809
ABSTRACT
The Coronavirus (COVID-19) pandemic impelled several research efforts, from collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 symptoms are related to the functioning of the respiratory system that influences speech production; this suggests research on identifying markers of COVID-19 in speech and other human generated audio signals. In this article, we give an overview of research on human audio signals using 'Artificial Intelligence' techniques to screen, diagnose, monitor, and spread the awareness about COVID-19. This overview will be useful for developing automated systems that can help in the context of COVID-19, using non-obtrusive and easy to use bio-signals conveyed in human non-speech and speech audio productions.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Diagnostic study
Language:
English
Journal:
Pattern Recognit
Year:
2022
Document Type:
Article
Affiliation country:
J.patcog.2021.108289
Similar
MEDLINE
...
LILACS
LIS