AI-Based human audio processing for COVID-19: A comprehensive overview

Author:

Deshpande Gauri,Batliner Anton,Schuller Björn W.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference68 articles.

1. Infectious diseases society of america guidelines on the diagnosis of COVID-19;Hanson;Clin. Infect. Dis.,2020

2. B. W. Schuller, D. M. Schuller, K. Qian, J. Liu, H. Zheng, X. Li, COVID-19 and computer audition: an overview on what speech & sound analysis could contribute in the SARS-cov-2 corona crisis, arXiv:2003.11117 (2020).

3. G. Deshpande, B. Schuller, An overview on audio, signal, speech, & language processing for COVID-19, arXiv:2005.08579 (2020).

4. Objective study of sensor relevance for automatic cough detection;Drugman;IEEE J. Biomed. Health Inform.,2013

5. Automatic cough detection in acoustic signal using spectral features;Pramono,2019

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