Explore the cutting-edge world of Emotional Artificial Intelligence based on audio analysis in this 41-minute conference talk. Delve into how intelligent speech analysis enables AI to understand human communication beyond mere content. Discover how machine learning methods can identify demographic features, emotions, personality traits, and health conditions from audio signals. Learn about multidimensional emotion models capable of recognizing over 50 emotions in real-time, and how AI incorporates social aspects and behavioral patterns through acoustic scene recognition. Examine the potential applications of this technology across various industries, including health, mobility, and device development. Consider the implications of emotion recognition for meaningful human-machine interaction and ponder whether a machine can truly be called intelligent without understanding emotions. Follow along as the speaker guides you through the intricacies of audio analysis, its methods, and its wide-ranging applications, from call centers and market research to healthcare and entertainment. Read more