Help to Develop a Voice-based COVID-19 Test!
Detecting Corona from the voice? This vision could soon become reality thanks to our AI technology. Register now for our study!
Study on COVID-19 Voice Biomarkers
In collaboration with the University of Augsburg, we are developing the first voice-based COVID-19 test. We are collecting thousands of voice recordings for this in a scientific study. Register now for our portal AI SoundLab and take part in the study.
We require health data as well as voice samples connected to SARS-CoV-2. All data is pseudonymized and stored under the highest security standards on AI SoundLab servers in Germany. Taking part in the study is completely voluntary. You can delete all your data and recordings at any time
Register now for our study on AI SoundLab!
Voice Biomarkers - Detecting Diseases from the Voice
Diseases like COVID-19 change the voice of a sick person. They affect the respiratory system and the muscles needed for voice production.
audEERING’s Audio AI analyses over 6.000 parameters from the human voice and can detect this subtle differences. Our technology is already being used to treat other diseases such as Parkinson’s.
Rapid Test on the Smartphone
With Voice Biomarkers, it would be possible to detect COVID-19 by voice in a matter of minutes. Using only a single sensor: a microphone.
For Building a Voice Biomarker on COVID-19, we need health data to feed our AI Models. Therefore, we have created a COVID-19 study on AI SoundLab.
Our prototype has already an accuracy of 82%. To improve this, our AI researchers use the collected data.They train the AI model with millions of data points and improve the algorithm.
Our goal is to create a Voice biomarker to detect COVID-19 with a very high accuracy.
An App with Audio AI against COVID-19
Smartphones allow recording in sufficient quality and have enough processing power to calculate results in the shortest possible time.
No messy swabbing, no plastic waste, as with disposable tests. An affordable and scalable solution, even for countries with lower healthcare budgets.