In two days (11/13!) we have the pleasure of hearing from Katie Kinnaird who we're gotten to know over the past couple months. Her title and abstract are below.
Same time (noon), same place (Farrell)!
Title: Hierarchical Representation for High-Dimensional Data in Music Tasks
Abstract: We propose a novel hierarchical representation for high-dimensional, time-sequenced data that encodes relevant size-appropriate information at several scales. We apply this representation to Music Information Retrieval (MIR) structure tasks, by building a signature for each digital score in our data set of Chopin Mazurka scores. This signature captures repeated structure at several scales and is naturally hierarchical. Given a particular MIR structure task, such as locating a chorus or motif of a given musical song or score, we restrict our analysis to found repetitions of a task-appropriate range of scales. Including repetitive structure of all possible scales allows our representation to be applicable to a more diverse set of MIR structure tasks than other structure representations in the literature that focus only on the coarsest level of structure.