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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.
We are happy to announce the availability of the next major release 3.0 of openSMILE, audEERING's open-source, cross-platform audio feature extractor. With more than 150,000 downloads since its first publication in 2010 and more than 2650 citations in academic papers, openSMILE has become an immensely popular tool among the research community, audio-related companies and individuals. We strongly believe that researchers and enthusiasts should have free and unrestricted access to the fundamental tools that they need for their work and to make new advances in these fields.