[HTML][HTML] Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study
Abstract The Advent of Artificial Intelligence (AI) has led to the use of auditory data for
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …
detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more …
Patient reported voice handicap and auditory-perceptual voice assessment outcomes in patients with COVID-19
Purpose The purpose of this study is to compare patient-reported voice handicap and
auditory-perceptual measures of voice between healthy individuals and COVID-19 patients …
auditory-perceptual measures of voice between healthy individuals and COVID-19 patients …
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection …
G Celik - Computers in Biology and Medicine, 2023 - Elsevier
This study proposes a new deep learning-based method that demonstrates high
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …
performance in detecting Covid-19 disease from cough, breath, and voice signals. This …
Auditory-perceptual evaluation of vocal characteristics in patients with the new coronavirus disease 2019
Introduction: Due to the upper and lower respiratory involvement in coronavirus disease
2019 (COVID-19), the voice quality of these patients is expected to be impaired. In this study …
2019 (COVID-19), the voice quality of these patients is expected to be impaired. In this study …
[PDF][PDF] Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds.
In this paper, we propose an approach to automatically classify COVID-19 and non-COVID-
19 cough samples based on the combination of both feature engineering and deep learning …
19 cough samples based on the combination of both feature engineering and deep learning …
Computer audition for fighting the SARS-CoV-2 corona crisis—Introducing the multitask speech corpus for COVID-19
Computer audition (CA) has experienced a fast development in the past decades by
leveraging advanced signal processing and machine learning techniques. In particular, for …
leveraging advanced signal processing and machine learning techniques. In particular, for …
Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
The technology development for point-of-care tests (POCTs) targeting respiratory diseases
has witnessed a growing demand in the recent past. Investigating the presence of acoustic …
has witnessed a growing demand in the recent past. Investigating the presence of acoustic …
End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study
Background Since the emergence of COVID-19 in December 2019, multidisciplinary
research teams have wrestled with how best to control the pandemic in light of its …
research teams have wrestled with how best to control the pandemic in light of its …
COVID-19 sounds: a large-scale audio dataset for digital respiratory screening
Audio signals are widely recognised as powerful indicators of overall health status, and
there has been increasing interest in leveraging sound for affordable COVID-19 screening …
there has been increasing interest in leveraging sound for affordable COVID-19 screening …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …