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ISE575b
CSCI575b
EE675b

 
Topics in Engineering Approaches to Music Cognition
Computational Modeling of Expressive Performance
Spring 2006   Daniel J. Epstein Department of Industrial and Systems Engineering
University of Southern California Andrew and Erna Viterbi School of Engineering


Instructor: Elaine Chew ( echew (at) usc.edu )
GER 241, (213) 8.212.414
Section: 048-31618R
Office Hours: Wednesday 2:00PM-3:00PM
Class Meets: Wednesday 10:00AM-12:40PM (negotiable@1st mtg)
Location: GER 309
Text: Selected technical papers from current literature (see week-by-week guide)
Pre-requisites: Graduate standing in engineering or by instructor's consent.
Programming experience (C++ or Java) and/or formal music knowledge desirable.

This course surveys computational research in expressive music performance. Expressive performance is the manipulation of musical parameters such as tempo, loudness, and articulation so as to focus attention and facilitate parsing of musical features, and to create an emotional affect. The material will cover classical domain knowledge and empirical research in, and generative approaches to, expressive performance from contemporary literature in the field.

Note that this course is in the process of obtaining university approval as ISE575b, EE675b, and CSCI 575b (part of an a,b,c sequence).

Updated 20 December 2005.

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