Detection of Covid-19 from Joint Time and Frequency Analysis of Speech, Breathing and Cough Audio
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign,United States
2. University of Chicago,United States
3. University of Illinois at Chicago,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746015.pdf?arnumber=9746015
Reference26 articles.
1. A Cough-Based Algorithm for Automatic Diagnosis of Pertussis
2. Detecting pertussis in the pediatric population using respiratory sound events and CNN
3. COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings
4. COVID-19 cough classification using machine learning and global smartphone recordings
5. Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Piecewise Position Encoding in Convolutional Neural Network for Cough-Based Covid-19 Detection;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
2. Cough-based COVID-19 Detection with Multi-head Deep Neural Network;2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2022-12-08
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