Publications by authors named "Muhannad Ismael"
Article Synopsis
- - COVID-19 affects breathing and voice, producing distinctive audio signatures that may be used for screening the virus.
- - The article presents a dataset of voice, cough, and breathing recordings from both infected and non-infected individuals, demonstrating the potential of using cough patterns for detection.
- - Preliminary results show promising accuracy (88.52%), sensitivity (88.75%), and specificity (90.87%) for identifying COVID-19 through audio analysis, alongside an exploration of key acoustic features affected by the virus.
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes.
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