Researchers at Carnegie Mellon University have just created a web-based application. It listens to the user’s speech and cough to determine if it has COVID-19 disease caused by neo-coronavirus infection. The app is still in its pilot phase and is expected to be an early screening tool in the future.
Screenshot of the software (from: CVD Voice)
Given the widespread lack of new coronavirus detection reagents in many parts of the world, including the United States, the app is based on the possibility of early screening using microphones on iPhone/Android smartphones only.
Despite what may seem like nonsense, researchers at Carnegie Mellon University hope to use artificial intelligence technology to analyze coughs to determine if there are suspected symptoms of COVID-19.
The software is called the COVID Sound Detector.
Themedia Futurism points out that the use of this web app is simple. After logging in, the user simply coughs into the microphone three times, and then unfolds a typical story, the system can analyze when the user feels short of breath to analyze lung capacity.
Subsequent algorithms can evaluate the scores given between 1 and 10, and the higher the value, the more obvious the suspected symptoms of COVID-19 are.
Of course, in terms of the performance of the current phase, the results of the COVID Voice Voice assessment are not yet the definitive basis for diagnosis.