SALAMI: Structural Analysis of Large Amounts of Music Information

De Roure, David, Downie, J. Stephen and Fujinaga, Ichiro (2010) SALAMI: Structural Analysis of Large Amounts of Music Information. In, UK e-Science All Hands Meeting 2010, Software Sustainbility Workshop, Cardiff, 16 - 13 Sep 2010.


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SALAMI (Structural Analysis of Large Amounts of Music Information) applies computational approaches to the huge and growing volume of digital recorded music that is now available in large-scale resources such as the Internet Archive. It is set to produce a new and very substantive web-accessible corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a methodology and tooling which will enable others to add to the resource in the future. The SALAMI infrastructure brings together workflow and Semantic Web technologies with a set of algorithms and tools for extracting features from recorded music which have been developed by the music information retrieval and computational musicology communities over the last decade, and the project uses “controlled crowd sourcing” to provide ground truth annotations of musical works.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 13-16th September, 2010
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 271171
Accepted Date and Publication Date:
May 2010Submitted
Date Deposited: 26 May 2010 07:24
Last Modified: 31 Mar 2016 14:18
Further Information:Google Scholar

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