Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.
- DOI
- 10.1109/jstsp.2022.3142514
- Published
- 2022 Feb
- Container
- IEEE journal of selected topics in signal processing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/jstsp.2022.3142514,
title = {Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.},
author = {Ponomarchuk A and Burenko I and Malkin E and Nazarov I and Kokh V and Avetisian M and Zhukov L},
year = {2022},
journal = {IEEE journal of selected topics in signal processing},
doi = {10.1109/jstsp.2022.3142514},
url = {https://doi.org/10.1109/jstsp.2022.3142514}
}RIS
TY - JOUR TI - Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. AU - Ponomarchuk A AU - Burenko I AU - Malkin E AU - Nazarov I AU - Kokh V AU - Avetisian M AU - Zhukov L PY - 2022 JO - IEEE journal of selected topics in signal processing DO - 10.1109/jstsp.2022.3142514 UR - https://doi.org/10.1109/jstsp.2022.3142514 ER -
APA
A, P., I, B., E, M., I, N., V, K., M, A., & L, Z. (2022). Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.. IEEE journal of selected topics in signal processing. https://doi.org/10.1109/jstsp.2022.3142514
Source records
- pubmed · retrieved 2026-11-10T11:45:03.255Z