Towards Web-Scale Analysis of Musical Structure

2,227 views
2,083 views

Published on

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.

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
2,227
On SlideShare
0
From Embeds
0
Number of Embeds
13
Actions
Shares
0
Downloads
15
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Towards Web-Scale Analysis of Musical Structure

  1. 1. Towards Web-Scale Analysis of Musical Structure<br />David De Roure<br />J. Stephen Downie<br />Kevin Page<br />Ichiro Fujinaga<br />Tim Crawford<br />Ben Fields<br />David Bretherton<br />…<br />salami.music.mcgill.ca<br />
  2. 2. SALAMI Objectives<br />SALAMI == Structural Analysis of Large amounts of Music Information<br />Musical analysis has traditionally been conducted by individuals and on a small scale<br />Computational approach, combined with the huge volume of data now available, will <br />Deliver substantive corpus of musical analyses in common framework for music scholarsand students<br />Establish a methodology and tooling so that community can sustain and enhance this resource<br />www.diggingintodata.org<br />
  3. 3. Motivation<br />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<br />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<br />It can also be used to understand historical influences over time and location<br />
  4. 4. Digital Music Collections<br />23,000 hours ofrecorded music<br />Music InformationRetrieval Community<br />Community Software<br />Student-sourced ground truth<br />Supercomputer<br />Linked Data Repositories<br />
  5. 5. Ground Truth<br />Ashley Burgoyne<br />
  6. 6. Number of annotated pieces by genre<br />
  7. 7. Segment Ontology<br />class structure<br />Ontology models properties from musicological domain<br /><ul><li>Independent of Music Information Retrieval research and signal processing foundations
  8. 8. Maintains an accurate and complete description of relationships that link them</li></ul>Kevin Page and Ben Fields<br />
  9. 9. See Kevin Pagefor more info…<br />
  10. 10. MIREX Overview<br />Stephen Downie<br />Music Information Retrieval Evaluation eXchange<br />Began in 2005<br />Tasks defined by community debate<br />Data sets collected and/or donated<br />Participants submit code to IMIRSEL<br />Code rarely works first try <br />Huge labour consumption getting programs to work<br />Meet at ISMIR to discuss results<br />www.music-ir.org/mirex<br />
  11. 11.
  12. 12. Meandre<br />seasr.org/meandre<br />
  13. 13. Structural analysis processing time by different algorithms<br />Evaluations of 3 algorithms and human against a ground truth<br />FPC = Frame Pair Clustering<br />
  14. 14. It’s web-like!<br />“Ground Truth”<br />Community<br />Digital Audio<br />“Signal”<br />StructuralAnalysis<br />
  15. 15. How country is my country?<br />Kevin Page and Ben Fields<br />http://www.nema.ecs.soton.ac.uk/countrycountry/<br />
  16. 16.
  17. 17. Summary<br /><ul><li>Web-scale methodology to conduct analysis of music recordings to create resource for musicologists
  18. 18. Investigating algorithms for structural analysis
  19. 19. Answering new research questions, evolving new methodologies
  20. 20. For more info</li></ul>http://salami.music.mcgill.ca/<br />http://www.oerc.ox.ac.uk/people/dder<br /><ul><li>Thanks to international teams, Internet Archive, Digging into Data Challenge, collaborators & funders</li>

×