devAIce® integrates audio analysis in software and hardware. It is the core technology of audEERING. With the Prodct Owner Talk series audEERING introduces the human intelligence behind this technology.
In the past two episodes, we clarified the definition, and we learned one of the common ways to model emotions. In this episode, we want to see what are machine learning and artificial intelligence and how can we use them to create an AI agent.
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.
When you write a text message to your friend, call them, or meet them in a cafe, you are interacting with them. Any conversation can be an interaction. Interaction happens when two or more objects or agents affect one another. Some centuries ago, humans were mostly interacting with each other and their domestic animals, and thanks to evolution, we are equipped for that.