The Limited Times

Now you can see non-English news...

Artificial Intelligence Model detects Covid in the voice with an app

2022-09-09T15:01:45.014Z


Researchers, system accurate in 89% of cases, more than rapid tests (ANSA) Artificial intelligence (AI) can be used to detect Covid-19 infection in the voice through an app. This is stated by researchers from the University of Maastricht, in the Netherlands, who presented a study a few days ago at the International Congress of the European Respiratory Society in Barcelona. Researchers say the AI ​​model used is more accurate than rapid antigen tests, 89% of the time, as


Artificial intelligence (AI) can be used to detect Covid-19 infection in the voice through an app.

This is stated by researchers from the University of Maastricht, in the Netherlands, who presented a study a few days ago at the International Congress of the European Respiratory Society in Barcelona.

Researchers say the AI ​​model used is more accurate than rapid antigen tests, 89% of the time, as well as faster and easier to use.

The team worked on data from the University of Cambridge's Covid-19 Sounds app: it contains 893 audio samples from 4,352 healthy and sick participants, of which 308 tested positive for the virus.

Users were asked to cough three times, breathe deeply through their mouth three to five times, and read a short sentence on the screen three times.

The researchers used a speech analysis technique called "Mel Spectrogram" to identify different characteristics of the voice such as volume, variation and power.

"These results suggest that voice recordings and improved AI algorithms can potentially achieve high accuracy in determining which patients have the infection. They could be used, for example, at entry points for large gatherings, enabling rapid screening." explains Wafaa Aljbawi of the Institute of Data Science at the University of Maastricht.

In Italy, the University of Ferrara developed a system a year ago that is always based on coughs and sound waves, thus identifying the "voice" of the disease.

The recognition method is based on a technique called supervised modal learning.

Source: ansa

All life articles on 2022-09-09

You may like

Trends 24h

Latest

© Communities 2019 - Privacy

The information on this site is from external sources that are not under our control.
The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them.