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Exploring auditory acoustic features for the diagnosis of the Covid-19

Exploring auditory acoustic features for the diagnosis of the Covid-19

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

22 January 2022

Madhu R. Kamble

Massimiliano Todisco

ArXiv (abs)PDF HTML Github

Papers citing "Exploring auditory acoustic features for the diagnosis of the Covid-19"

3 / 3 papers shown

Developing a Multi-variate Prediction Model For COVID-19 From
Crowd-sourced Respiratory Voice Data

Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data

255

6

0

12 Feb 2024

COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram
Transformers

COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram TransformersIEEE journal of biomedical and health informatics (IEEE JBHI), 2022

211

25

0

19 Jul 2022

Biometrics in the Era of COVID-19: Challenges and Opportunities

Biometrics in the Era of COVID-19: Challenges and OpportunitiesIEEE Transactions on Technology and Society (IEEE TTS), 2021

M. Gomez-Barrero

Christian Rathgeb

Massimiliano Todisco

Naser Damer

Jannier Priesnitz

Nicholas W. D. Evans

Christoph Busch

205

61

0

18 Feb 2021

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