Learning to Listen, Listening to Learn

What accounts for the variety of music witnessed across the world? The answer lies in the psychological mechanisms of cultural evolution that combine a creative process of composing ever new forms of music and a perceptual process of learning to appreciate listening to them. This book develops and tests a theory of the psychological mechanisms that enable listeners to learn the structure of their culturally-situated musical environments so as to be able to perceive and appreciate music. The central hypothesis is that music perception depends critically on mechanisms of statistical learning and probabilistic prediction. These mechanisms are implemented in a computational model whose behaviour is analysed in detail through simulations of psychological experiments. The results demonstrate that the model can account for predictions generated by listeners for the pitch, timing and harmonies of music. While prediction is an important psychological mechanism in and of itself, the evidence presented shows how it also lays the foundation for a broader account of music perception, encompassing memory, auditory scene analysis, similarity perception, complexity perception, affect and aesthetic experience. The proposed theory makes concrete predictions for differences in perception between listeners from different cultures and the developmental trajectories that result in these differences. These predictions are tested and corroborated with respect to both the incidental cultural experience of non-musicians and the formal cultural training of musicians. Because the approach rests fundamentally on mechanisms of statistical learning, it generalises naturally to other cultural domains including natural language, visual media and dance.

Marcus Pearce is currently Reader in Cognitive Science at Queen Mary University of London and Honorary Professor of Neuroscience at Aarhus University, Denmark. He has made wide-ranging contributions to the scientific literature on auditory perception and cognition including the entry on Music Perception in the Oxford Research Encyclopedia of Psychology. He was educated in Experimental Psychology at the University of Oxford and Artificial Intelligence at the University of Edinburgh.