AI-powered mobile app detects COVID-19 symptoms through voice and cough analysis
COVID Voice Detector is a mobile application developed to help identify potential COVID-19 infections based on analysis of a person's voice and cough recordings. The app uses advanced artificial intelligence and machine learning techniques to detect subtle audio biomarkers associated with coronavirus infections.
When a user opens the COVID Voice Detector app, they are guided through a brief data collection process where they are asked to cough a few times into their phone's microphone and read a sentence out loud. These audio samples are then uploaded to the app's cloud servers and run through sophisticated neural network models that have been specifically trained to analyze cough and voice recordings for signs of COVID-19 vocal infections.
The machine learning models check the submitted recordings for over 100 different vocal features such as cough depth, raspiness, speech slurring, and more. Each of these vocal attributes is assigned a weighted score based on its correlation with positive COVID-19 infections. All the scores are computed and analyzed by the app's AI engine to determine if the user likely has coronavirus or not.
After a minute or two of processing, the COVID Voice Detector app reports back to the user whether their voice recordings fit the acoustic profile of a COVID-19 positive case. It provides a confidence percentage on the screening result as well as recommendations on next steps such as getting tested or contacting a doctor.
The voice-based COVID screening offered by this app provides an easy, non-invasive pre-screening tool to identify high-risk cases before they spread the infection. It can be easily self-administered at home without specialist help. The app's machine learning is continuously trained on new data to improve accuracy over time.
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