Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech

Edresson Casanova, Lucas Gris, Augusto Camargo, Daniel da Silva, Murilo Gazzola, Ester Sabino, Anna Levin, Arnaldo Candido Jr, Sandra Aluisio, Marcelo Finger


Anthology ID:
2021.findings-acl.55
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
625–633
Language:
URL:
https://aclanthology.org/2021.findings-acl.55
DOI:
10.18653/v1/2021.findings-acl.55
Bibkey:
Cite (ACL):
Edresson Casanova, Lucas Gris, Augusto Camargo, Daniel da Silva, Murilo Gazzola, Ester Sabino, Anna Levin, Arnaldo Candido Jr, Sandra Aluisio, and Marcelo Finger. 2021. Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 625–633, Online. Association for Computational Linguistics.
Cite (Informal):
Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech (Casanova et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.55.pdf
Optional supplementary material:
 2021.findings-acl.55.OptionalSupplementaryMaterial.zip