The human blood is the basis for a variety of medical applications for diagnosis. But what if our voice can also tell us a lot about the current status of a person’s health? An example of the use of intelligent speech analysis and the voice is detecting COVID-19 from speech. This is part 2 of the Health AI series.
SEMULIN: Audio AI for Autonomous Cars
The market for autonomous driving is projected to grow from 5,7 billion in 2018 to 60 billion US-Dollars in 2030. This shows the potential this technology will have in the future and is one of the reason why the German government provided funding for project SEMULIN.
We want to give a rough overview of the topic AI from the origins to the current developments in the health industry. Because artificial intelligence is the key technology of the future, especially in the area of health. Start with Part 1 of our Health AI Series on our Youtube Channel.
MARVEL: Audio AI for Smart Cities
The market for smart city projects is huge and still growing. The project MARVEL aims at supporting data-driven real-time application workflows and decision-making in modern cities. For this real-time multi-modal smart city monitoring, audEERING provides its well-known acoustic scene detection.
WorkingAge: Improved working conditions for older workers
European Population is ageing and good working conditions are more important than ever. In a society where employment is prolonged to higher ages, a project like WorkingAge aims to promote healthy habits in working environments. audEERING is part of the consortium.
EU Project: Audio AI for Smart Speakers
The goal of the project SPEAKER is the development of an European smart speaker as competition to the American products on the market. This product should be characterized by European standards for data security. audEERING is part of the consortium to develop this solution.
In part 2 of the Transparent AI series we lay the foundation for the modeling of emotions in affective computing. To describe the perception of emotional express there's a 3D space usable. It's built from the dimensions valence, arousal and dominance.
In this video series, we go over some definitions, learn the basics of modeling emotions, present machine learning methods to train models, and some of the applications of emotion AI. The journey begins with the delimation of terms we mostly use in our daily life without a clear definition: emotion, feeling, affect, mood.