Course Introduction
This course deals with various music analysis and processing problems that use sampled audio as the primary data representation. We discuss, but do not emphasize, digital signal processing including filtering and its relationship to Fourier techniques. We will focus on applications including score following (online and offline), automatic music transcription and annotation from audio, musical accompaniment systems, as well as some useful audio effects. The class is open to all graduate students, but students should be prepared for some mathematics, computer science and statistics.
Instructor
Classes
Tue/Thu 12:50 – 2:05 Eigenmann 925
Office
Eigenmann 935, T. (812)-856-1849
Office Hours
Wed/Thu 4:00 – 5:00 and by appointment
AI
Kyung Ae Lim (kalim@indiana.edu)
Office Hours
Fri 10:00 – 12:00 Eigenmann 930
Course Materials
[01] Syllabus [02] R Tutorial [03] R and Sound [04] R Examples [05] Audio Files
Assignments
[01] Homework 1 DUE 01/26/06
[02] Homework 2 DUE 02/07/06
[03] Homework 3 DUE 02/23/06
Spring 2006
Music Informatics
Indiana University School of Informatics