SALAMI (Structural Analysis of Large Amounts of Music Information) is an ambitious computational musicology project which applies a computational approach to the huge volume of digital recordings now available from such sources as the Internet Archive. It aims to deliver a very substantive corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a web-based methodology and tooling which will enable others to add to this in the future. In its first phase the project has conducted a significant exercise in ground truth collection with 1000 recordings analysed by music students and shortly to be published as open Linked Data.

1. Towards Web-Scale Analysis of Musical Structure David De Roure J. Stephen Downie Kevin Page Ichiro Fujinaga Tim Crawford Ben Fields David Bretherton … salami.music.mcgill.ca

2. SALAMI Objectives SALAMI == Structural Analysis of Large amounts of Music Information Musical analysis has traditionally been conducted by individuals and on a small scale Computational approach, combined with the huge volume of data now available, will Deliver substantive corpus of musical analyses in common framework for music scholarsand students Establish a methodology and tooling so that community can sustain and enhance this resource www.diggingintodata.org

3. Motivation A resource of this size empowers musicologists to approach their work in a new and different way, starting with the data, and to ask research questions that have not been possible before The analysis is useful in classifying different genres of music and can be used to compare different styles of composition within a composer’s works or between composers It can also be used to understand historical influences over time and location

4. Digital Music Collections 23,000 hours ofrecorded music Music InformationRetrieval Community Community Software Student-sourced ground truth Supercomputer Linked Data Repositories

5. Ground Truth Ashley Burgoyne

6. Number of annotated pieces by genre

8. Maintains an accurate and complete description of relationships that link themKevin Page and Ben Fields

9. See Kevin Pagefor more info…

10. MIREX Overview Stephen Downie Music Information Retrieval Evaluation eXchange Began in 2005 Tasks defined by community debate Data sets collected and/or donated Participants submit code to IMIRSEL Code rarely works first try  Huge labour consumption getting programs to work Meet at ISMIR to discuss results www.music-ir.org/mirex

12. Meandre seasr.org/meandre

13. Structural analysis processing time by different algorithms Evaluations of 3 algorithms and human against a ground truth FPC = Frame Pair Clustering

14. It’s web-like! “Ground Truth” Community Digital Audio “Signal” StructuralAnalysis

15. How country is my country? Kevin Page and Ben Fields http://www.nema.ecs.soton.ac.uk/countrycountry/

18. Investigating algorithms for structural analysis

19. Answering new research questions, evolving new methodologies