Understanding Emotions with Machine Learning: A Conversation with Hannes Demerling

In this episode of Empathy Unbound, host Andrew Phipps is joined by Hannes Demerling, a pre-doctoral fellow at the Center for Lifespan Psychology at the Max Planck Institute for Human Development.

The discussion delves into Hannes's work on using machine learning to recognize emotions from audio recordings, a field with significant potential applications in healthcare and AI development.

Hannes also shares personal insights into what shaped his interest in emotional research and elaborates on his current projects, including emotion recognition from video material and developing more nuanced emotional descriptions using advanced machine learning models.

The conversation highlights the growing intersection of AI and emotional intelligence, exploring both the challenges and opportunities in the field.

00:00 Introduction and Guest Introduction

01:00 Hannes' Background and Early Influences

03:35 Understanding Empathy in Machine Learning

04:53 Research Methodology and Findings

09:55 Practical Applications of Emotion-Recognizing AI

15:05 Future of Emotion-Recognizing AI

19:53 Current and Future Research Directions

37:30 Conclusion and Final Thoughts

More about Hannes and his research

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