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Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

SARS-CoV-2 Detection From Voice.

Gadi Pinkas¹, Yarden Karny¹, Aviad Malachi¹

¹Afeka Center of Language Processing, AfekaTel Aviv Academic College of Engineering Tel Aviv-Yafo 6910717 Israel.

IEEE Open Journal of Engineering in Medicine and Biology

|April 11, 2022

Summary

This summary is machine-generated.

Automated voice analysis can detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19. This study shows voice recordings can feasibly screen for COVID-19 infection.

Keywords:

COVID19 audio embeddings ensemble stacking recurrent neural network semi supervised learning transformer

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Area of Science:

Artificial Intelligence
Biomedical Engineering
Respiratory Medicine

Background:

COVID-19 screening relies on methods like nasopharyngeal swabbing.
Automated voice analysis offers a potential non-invasive screening tool.

Purpose of the Study:

To investigate the feasibility of using deep machine learning and speech processing for automated voice-based detection of SARS-CoV-2.
To evaluate the performance of a three-stage deep learning model for COVID-19 detection from voice recordings.

Main Methods:

A dataset of voice recordings (utterances, speech, coughs) from 88 subjects (SARS-CoV-2 positive and negative controls) was collected.
A three-stage deep learning architecture involving transformers and recurrent neural networks was implemented.
Ensemble stacking and regularization techniques were employed to enhance classification accuracy and prevent overfitting.

Main Results:

On a test set of 57 recordings, the model achieved a recall of 78% and a probability of false alarm (PFA) of 41%.
Cross-validation on 292 recordings yielded a recall of 78% and a PFA of 30%.

Conclusions:

Preliminary results suggest that voice analysis is a feasible method for screening COVID-19.
Further research is warranted to optimize voice-based detection of SARS-CoV-2.