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I am interested pitch relations in, and cognitive models, of post-tonal music. One branch of my work is concerned with the assessment of similarity between analytical "objects." This research has so far concentrated on context-free measures of interval-class similarity betwee n pitch-class set classes. Present work involves studying the effects of musical context on these measures through connectionist models. A second branch of work involves the use of self-organizing neural networks to study post-tonal music for underlying structural organization. Courses taught recently include Models of Music Cognition, and Computer Tools for Music Research.
Bold student names indicate a cognitive science standalone student.
|Nichols, Eric||Musicat: A Computer Model of Musical Listening And Analogy-Making (December 2012)||Hofstadter, D. (Chair), Isaacson, E., Byrd, D., Gasser, M.|