F0 Entrainment

F0 entrainment, the tendency for individuals to synchronize their vocal patterns during interaction, is a focus of current research exploring its role in successful communication and collaboration. Studies utilize diverse methods, including Dynamic Time Warping and deep neural networks (like BERT and conformers), to analyze entrainment across acoustic, prosodic, semantic, and even emotional features in both human-human and human-robot interactions. Findings reveal a complex relationship between entrainment and factors like language proficiency and anthropomorphism, highlighting its significance for understanding social dynamics and improving human-computer interaction, particularly in the design of more natural and engaging conversational agents.