1. Large-Scale Music Audio Analyses Using High Performance Computing Technologies: Creating New Tools, Posing New Questions
J. Stephen Downie
Graduate School of Library and Information Science
University of Illinois at Urbana-Champaign

2. Projects at IMIRSEL and its Partners
NEMA: Networked Environment for Music Analysis
SALAMI: Structural Analysis of Large Amounts of Music Information

3. SALAMI: The Inspiration

4. Musicologists do Structural/Formal Analysis: Can Machines?

5. SIZE (TB) UNCOMPRESSED
Audio Datasets Collected Over the Years at IMIRSEL: Two and a Half Years of Music
SOURCE COLLECTION
SOURCE ACCESS TYPE
TRACKS
HOURS
SIZE (TB) UNCOMPRESSED
Internet Archive
Open via Internet
276,000
18,333
11.00
DRAM
Subscription via Internet
8,000
2,300
1.38
IMIRSEL
Closed (Stored locally)
34,000
2,267
1.36
McGill
32,000
2,133
1.28
Totals
350,000
23,267
15.02

6. Structural Analysis of Music Audio: The Problem
Representation
Structure

7. Self-Similarity: A Roadmap for Identifying Repetition

8. Self-Similarity: A Roadmap for Identifying Repetition

9. Visualizing and Interacting with Generated Structure Information

10. Visualizing and Interacting with Generated Structure Information