COVID-19 artificial intelligence diagnosis using only cough recordings
J Laguarta, F Hueto, B Subirana - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could
be accurately discriminated only from a forced-cough cell phone recording using Artificial …
be accurately discriminated only from a forced-cough cell phone recording using Artificial …
[HTML][HTML] Machine learning approach for detecting covid-19 from speech signal using mel frequency magnitude coefficient
The Covid-19 pandemic is one of the most significant global health concerns that have
emerged in this decade. Intelligent healthcare technology and techniques based on speech …
emerged in this decade. Intelligent healthcare technology and techniques based on speech …
Enhancement of Accuracy in Speech Recognition System for Detection of Covid-19 using Support Vector Machine
R Jhansi, G Uganya - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
The goal of this study is todetect Covid-19 by innovative speech recognition using Support
Vector Machine (SVM) and comparing its accuracy with Random Forest (RF). Speech …
Vector Machine (SVM) and comparing its accuracy with Random Forest (RF). Speech …
Challenges and opportunities in deploying COVID-19 cough AI systems
What if COVID-19 could be detected by cough and voice sounds? A reliable diagnosis
based on cough and voice sounds would provide a fast and convenient way to detect …
based on cough and voice sounds would provide a fast and convenient way to detect …
An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety
The COVID-19 outbreak was announced as a global pandemic by the World Health
Organisation in March 2020 and has affected a growing number of people in the past few …
Organisation in March 2020 and has affected a growing number of people in the past few …
Deep-learning based approach to identify COVID-19
K Feng, F He, J Steinmann, I Demirkiran - SoutheastCon 2021, 2021 - ieeexplore.ieee.org
COVID-19 is a large-scale contagious respiratory disease that has spread across the world
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
Detection of COVID-19 through the analysis of vocal fold oscillations
M Al Ismail, S Deshmukh… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Phonation, or the vibration of the vocal folds, is the primary source of vocalization in the
production of voiced sounds by humans. It is a complex bio-mechanical process that is …
production of voiced sounds by humans. It is a complex bio-mechanical process that is …
[HTML][HTML] Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
M Melek - Neural Computing and Applications, 2021 - Springer
In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the
whole world. This virus, which is called corona, is the most contagious type of virus that …
whole world. This virus, which is called corona, is the most contagious type of virus that …
SARS-Cov-2 detection using Deep Learning Techniques on the basis of Clinical Reports
S Jain, M Kumar, N Sindhwani… - 2021 9th International …, 2021 - ieeexplore.ieee.org
The outbreak of COVID-19 Coronavirus (SARS_CoV_2), has created a calamitous situation
all around the globe. During this worldwide urgency, scientists, clinicians, and healthcare …
all around the globe. During this worldwide urgency, scientists, clinicians, and healthcare …
[HTML][HTML] Voice pathology detection using convolutional neural networks with electroglottographic (EGG) and speech signals
This paper presents a convolutional neural network (CNN) based automated noninvasive
voice pathology detection system. The proposed system functions in two steps. First, it …
voice pathology detection system. The proposed system functions in two steps. First, it …