Our study platform for your research on voice, health and AI applications.
The first online platform for researching language, health data and many other parameters in one application. AI SoundLab combines a powerful survey tool with the latest AI voice analysis. This allows 360 ° insights for the development of voice biomarkers, automatic speech analysis and much more.
Physical and mental health studies
AI SoundLab can monitor health developments, provide analysis for diagnosis, and collect data for the development of voice biomarkers. Human experts can use health data enriched by AI technology for quicker diagnoses. AI SoundLab process all data under the highest security standards in Germany.
A Voice-based Health Application
Our vision with AI SoundLab is to substantially improve people’s individual health. This technology will make a big difference for the increasing neurodegenerative and neurocognitive diseases. AI-based voice biomarkers will enable disease screening, early symptom detection, and enhanced therapy in the future.
Secure, Reliable, and Transparent
In order to achieve the highest level of accuracy, we combine the following features: the results of AI-supported speech analysis, user-related health data, compact questionnaires, and the knowledge of human experts. In all this, the patients always have an overview of all their data.
Voice-based COVID-19 Test
audEERING’s AI systems can recognize even slight changes in intonation, intensity and tempo, as caused by an COVID-19 infection. Together with the University of Augsburg we created a study for a voice-based COVID-19 test. The result: Our AI system can achieve an accuracy of up to 82% regarding the detection of the disease.
Audio AI in Health: Voice Biomarkers
Detecting diseases from the voice? What initially sounds like a futuristic scenario could soon become reality thanks to modern AI technology.
Voice Study for COVID-19
In collaboration with the University of Augsburg audEERING conducted a study about developing a voice-based COVID-19 test. We have collected thousands of voice recordings in this scientific study.