COVID-19 Detection from Speech in Noisy Conditions
Author:
Affiliation:
1. University of Augsburg,EIHW – Chair of Embedded Intelligence for Health Care & Wellbeing,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094304.pdf?arnumber=10094304
Reference27 articles.
1. Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients
2. An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
3. The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics
4. Sounds of COVID-19: exploring realistic performance of audio-based digital testing
5. Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19
Cited by 1 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. A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net;IEEE Access;2023
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