Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics.

Journal: Computer methods and programs in biomedicine
Published Date: Mar 18, 2025

Abstract

BACKGROUND AND OBJECTIVE: Emotion recognition in conversations using artificial intelligence (AI) has gained significant attention due to its potential to provide insights into human social behavior. This study extends AI-based emotion recognition to the recognition of emotional climate (EC), which reflects the joint emotional atmosphere dynamically created and perceived by peers during conversations. The objective is to propose and evaluate a novel approach, MLBispec, for EC recognition using speech signals.

Authors

  • Ghada Alhussein
  • Mohanad Alkhodari
    Cardiovascular Clinical Research Facility, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Ioannis Ziogas
  • Charalampos Lamprou
  • Ahsan H Khandoker
    Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
  • Leontios J Hadjileontiadis
    Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece.

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