School of Electronic Engineering and Computer Science

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Mr Peter Harrison


Teaching Associate

Room Number: Peter Landin, CS 416


Music Perception and Cognition (Undergraduate/Postgraduate)

Music is a fundamental part of being human and exists only in the mind of the listener. This module will provide students with advanced training in current understanding of how musical sound is processed by the mind and brain. This is crucial for developing creative tools for musicians and intuitive interfaces for music lovers as well as for using technology in the creative production of new music.


Research Interests:

I work on music-theoretic and cognitive applications of symbolic music modelling. These symbolic music models are based on statistical learning, and derive knowledge of musical structure on the basis of large corpora of music from a variety of genres. I leverage music-theoretic and cognitive research to develop improved techniques for predicting musical structure, and use the resulting models to provide insight into compositional practice and into music cognition. 

I also work on modern psychometric approaches to testing musical abilities. My collaborators and I have developed a number of computerised adaptive tests of musical abilities, including the ability to discriminate between melodies, to perceive the beat in a piece of music, and to detect mistuning in vocal music. These tests use adaptive procedures to home in on the test-taker's ability during the test, administering hard items to able candidates and easy items to less able candidates. They also use automatic item generation to produce large banks of items with predetermined psychometric characteristics. The resulting tests have been used in a variety of applications, including an ongoing longitudinal study of musical and academic development through adolescence.


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