It’s widely accepted that music elicits similar emotional responses from culturally connected groups of human listeners. Less clear is how various aspects of musical language contribute to these effects.
Funded by a Mellon Foundation Research Grant through Dickinson College Digital Humanities, our research into this questions leverages cognition-based machine listening algorithms and network analysis of musical descriptors to identify the connections between musical affect and language.