Björn Schuller Featured in t3n on AI and Emotion Recognition

MCML PI Björn Schuller is featured in a recent t3n article exploring how artificial intelligence can recognize and interpret human emotions. Drawing on more than 25 years of research in emotion recognition, Schuller explains how AI systems analyze emotional signals, particularly through speech.

The article examines how current systems use machine learning and human-labeled data to identify emotional states, while highlighting the challenges and limitations of this approach. Schuller also discusses how emerging large language and multimodal models could change the field of affective computing and influence applications ranging from healthcare to human-computer interaction.