Identifying individuals with recent COVID-19 through voice classification using deep learning

P Suppakitjanusant, S Sungkanuparph, T Wongsinin… - Scientific Reports, 2021 - nature.com
classification 6 , and audio events classification 7 . In the present study, we hypothesized
that subtle voice changes could occur post COVID-19voice feature alteration in COVID-19

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures

G Costantini, C Robotti, M Benazzo… - Knowledge-Based …, 2022 - Elsevier
… differentiated COVID-19 positive … COVID-19 positive subjects, foreseeing a tool for on-site
screening, while also considering recovered subjects and the effects of COVID-19 on the voice

Voice features of sustained phoneme as COVID-19 biomarker

ND Pah, V Indrawati, DK Kumar - IEEE Journal of Translational …, 2022 - ieeexplore.ieee.org
… Results: The statistical analysis and SVM classification show that the voice features related
… SD) were the most sensitive to voice change due to COVID-19. The result also shows that the …

The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests

F Manzella, G Pagliarini, G Sciavicco, IE Stan - Artificial Intelligence in …, 2023 - Elsevier
… model for the diagnosis of COVID-19 based on the acoustic characteristics of a … classification
one (that is, the model outputs whether a subject/sample is positive or negative to COVID-19

[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results

V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
… Section 2 gives a detailed description of the collected dataset, data preprocessing and feature
extraction techniques, as well as classification models for COVID-19 detection used in this …

Exploring the use of artificial intelligence techniques to detect the presence of coronavirus covid-19 through speech and voice analysis

L Verde, G De Pietro, A Ghoneim, M Alrashoud… - Ieee …, 2021 - ieeexplore.ieee.org
… In this paper an investigation into the classification accuracy of the main ML techniques in
the detection of the presence of Covid-19 through voice analysis has been proposed. The aim …

Machine learning-based voice assessment for the detection of positive and recovered COVID-19 patients

C Robotti, G Costantini, G Saggio, V Cesarini… - Journal of Voice, 2021 - Elsevier
… effective vocal task for COVID discrimination. Moreover, a three-way classification was carried
out … to mid and short-term vocal traces of COVID-19, even after the clinical resolution of the …

Interpreting glottal flow dynamics for detecting covid-19 from voice

S Deshmukh, M Al Ismail… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
… addresses the problem of interpretation of vocal flow dynamics for more accurate identification
of the discriminative factors that can be used for classification of COVID-19 from voice. …

[HTML][HTML] High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart …

R Dunne, T Morris, S Harper - 2020 - europepmc.org
… Diagnosing COVID-19COVID-19. Research is currently sparse in this area and data is
difficult to obtain. However, a few small data collection projects have enabled audio classification

Detection of COVID-19 through the analysis of vocal fold oscillations

M Al Ismail, S Deshmukh… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
… As of now, literature on detecting COVID-19 from voice, coughs and other respiratory … The
classifiers tested in this binary classification task were Logistic regression (LR), Support vector …