Structural Analysis of Large Amounts of Music Information

Awardees:  Stephen Downie, University of Illinois at Urbana-Champaign, NSF; David De Roure, University of Southhampton, JISC; Ichiro Fujinaga, McGill University, SSHRC.

Additional Key Participants:  The Internet Archive, IndianaUniversity, Anthology of Recorded Music (DRAM), and the British Broadcasting Corporation.

Description:  SALAMI (Structural Analysis of Large Amounts of Music Information) is an innovative and ambitious computational musicology project. To date, musical analysis has been conducted by individuals and on a small scale. Our computational approach, combined with the huge volume of data now available from such source as the Internet Archive, will a) deliver a very substantive corpus of musical analyses in a common framework for use by music scholars, students and beyond; and, b) establish a methodology and tooling which will enable others to add to this in the future and to broaden the application of the techniques we establish. A resource of SALAMI’s magnitude 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.

 

Official SALAMI Blog:

http://salami.music.mcgill.ca/

 

 Related Websites:

 The International Music Information Retrieval Systems Evaluation Laboratory Website

Joint Information Systems Committee (JISC) Write-up

Article in the Chronicle of Higher Education