TY - GEN
T1 - Recent advances in computer audition for diagnosing Covid-19
T2 - 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
AU - Qian, Kun
AU - Schuller, Björn W.
AU - Yamamoto, Yoshiharu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/9
Y1 - 2021/3/9
N2 - Computer audition (CA) has been demonstrated to be efficient in healthcare domains for speech-affecting disorders (e. g., autism spectrum, depression, or Parkinson’s disease) and body sound-affecting abnormalities (e. g., abnormal bowel sounds, heart murmurs, or snore sounds). Nevertheless, CA has been underestimated in the considered data-driven technologies for fighting the COVID-19 pandemic caused by the SARS-CoV-2 coronavirus. In this light, summarise the most recent advances in CA for COVID-19 speech and/or sound analysis. While the milestones achieved are encouraging, there are yet not any solid conclusions that can be made. This comes mostly, as data is still sparse, often not sufficiently validated and lacking in systematic comparison with related diseases that affect the respiratory system. In particular, CA-based methods cannot be a standalone screening tool for SARS-CoV-2. We hope this brief overview can provide a good guidance and attract more attention from a broader artificial intelligence community.
AB - Computer audition (CA) has been demonstrated to be efficient in healthcare domains for speech-affecting disorders (e. g., autism spectrum, depression, or Parkinson’s disease) and body sound-affecting abnormalities (e. g., abnormal bowel sounds, heart murmurs, or snore sounds). Nevertheless, CA has been underestimated in the considered data-driven technologies for fighting the COVID-19 pandemic caused by the SARS-CoV-2 coronavirus. In this light, summarise the most recent advances in CA for COVID-19 speech and/or sound analysis. While the milestones achieved are encouraging, there are yet not any solid conclusions that can be made. This comes mostly, as data is still sparse, often not sufficiently validated and lacking in systematic comparison with related diseases that affect the respiratory system. In particular, CA-based methods cannot be a standalone screening tool for SARS-CoV-2. We hope this brief overview can provide a good guidance and attract more attention from a broader artificial intelligence community.
KW - COVID-19
KW - Computer audition
KW - Diagnosis
KW - Machine learning
KW - Overview
UR - http://www.scopus.com/inward/record.url?scp=85104618048&partnerID=8YFLogxK
U2 - 10.1109/LifeTech52111.2021.9391791
DO - 10.1109/LifeTech52111.2021.9391791
M3 - Conference contribution
AN - SCOPUS:85104618048
T3 - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
SP - 181
EP - 182
BT - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 March 2021 through 11 March 2021
ER -