AI-Based human audio processing for COVID-19: A comprehensive overview

G Deshpande, A Batliner, BW Schuller - Pattern recognition, 2022 - Elsevier
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …

Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)

S Xu, RC Deo, J Soar, PD Barua, O Faust… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …

Listen2cough: Leveraging end-to-end deep learning cough detection model to enhance lung health assessment using passively sensed audio

X Xu, E Nemati, K Vatanparvar, V Nathan… - Proceedings of the …, 2021 - dl.acm.org
The prevalence of ubiquitous computing enables new opportunities for lung health
monitoring and assessment. In the past few years, there have been extensive studies on …

BreathTrack: detecting regular breathing phases from unannotated acoustic data captured by a smartphone

B Islam, MM Rahman, T Ahmed, MY Ahmed… - Proceedings of the …, 2021 - dl.acm.org
Breathing biomarkers, such as breathing rate, fractional inspiratory time, and inhalation-
exhalation ratio, are vital for monitoring the user's health and well-being. Accurate estimation …

A forced cough sound based pulmonary function assessment method by using machine learning

W Xu, G He, C Pan, D Shen, N Zhang, P Jiang… - Frontiers in Public …, 2022 - frontiersin.org
Pulmonary function testing (PFT) has important clinical value for the early detection of lung
diseases, assessment of the disease severity, causes identification of dyspnea, and …

Predicting pulmonary function from the analysis of voice: a machine learning approach

MZ Alam, A Simonetti, R Brillantino, N Tayler… - Frontiers in digital …, 2022 - frontiersin.org
Introduction To self-monitor asthma symptoms, existing methods (eg peak flow metre, smart
spirometer) require special equipment and are not always used by the patients. Voice …

Estimation of forced vital capacity using speech acoustics in patients with ALS

GM Stegmann, S Hahn, CJ Duncan… - … Lateral Sclerosis and …, 2021 - Taylor & Francis
In this study, we present and provide validation data for a tool that predicts forced vital
capacity (FVC) from speech acoustics collected remotely via a mobile app without the need …

[PDF][PDF] The DiCOVA 2021 Challenge: an encoder-decoder approach for COVID-19 recognition from coughing audio

G Deshpande, BW Schuller - 2021 - opus.bibliothek.uni-augsburg.de
This paper presents the automatic recognition of COVID-19 from coughing. In particular, it
describes our contribution to the DiCOVA challenge–Track 1, which addresses such cough …

Spatio-temporal classification of lung ventilation patterns using 3d eit images: A general approach for individualized lung function evaluation

S Chen, L Li, Z Lin, K Zhang, Y Gong… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The Pulmonary Function Test (PFT) is a widely utilized and rigorous classification test for
evaluating lung function, serving as a comprehensive diagnostic tool for lung conditions …

Lung function estimation from a monosyllabic voice segment captured using smartphones

N Saleheen, T Ahmed, MM Rahman, E Nemati… - … Conference on Human …, 2020 - dl.acm.org
Chronic respiratory diseases refer to a group of lung diseases that affect the airways and
cause difficulty in breathing. Respiratory diseases are one of the leading causes of death …