The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

Lara Orlandic, Tomas Teijeiro, David Atienza

Open source

DOI: 10.1038/s41597-021-00937-4
Published: 2021-06-23
Container: Scientific Data
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-021-00937-4,
  title = {The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms},
  author = {Lara Orlandic and Tomas Teijeiro and David Atienza},
  year = {2021},
  journal = {Scientific Data},
  doi = {10.1038/s41597-021-00937-4},
  url = {https://doi.org/10.1038/s41597-021-00937-4}
}

RIS

TY  - JOUR
TI  - The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms
AU  - Lara Orlandic
AU  - Tomas Teijeiro
AU  - David Atienza
PY  - 2021
JO  - Scientific Data
DO  - 10.1038/s41597-021-00937-4
UR  - https://doi.org/10.1038/s41597-021-00937-4
ER  -

APA

Orlandic, L., Teijeiro, T., & Atienza, D. (2021). The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms. Scientific Data. https://doi.org/10.1038/s41597-021-00937-4

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crossref · retrieved 2026-09-25T23:23:58.153Z