SALAMI: Structural Analysis of Large Amounts of Music Information
SALAMI: Structural Analysis of Large Amounts of Music Information
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.
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Downie, J. Stephen
d5e11243-09e1-42c3-92a8-a2614afa0f76
Fujinaga, Ichiro
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De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Downie, J. Stephen
d5e11243-09e1-42c3-92a8-a2614afa0f76
Fujinaga, Ichiro
3c040b72-9e0f-4fd0-8258-fa6fdde7f46c
De Roure, David, Downie, J. Stephen and Fujinaga, Ichiro
(2010)
SALAMI: Structural Analysis of Large Amounts of Music Information.
UK e-Science All Hands Meeting 2010, Cardiff, United Kingdom.
13 - 16 Sep 2010.
(Submitted)
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
AHMsalami-v2.pdf
- Author's Original
More information
Submitted date: May 2010
Additional Information:
Event Dates: 13-16th September, 2010
Venue - Dates:
UK e-Science All Hands Meeting 2010, Cardiff, United Kingdom, 2010-09-13 - 2010-09-16
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 271171
URI: http://eprints.soton.ac.uk/id/eprint/271171
PURE UUID: fc6479fe-cee6-4ddb-be13-a0221f1ea3d4
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Date deposited: 26 May 2010 07:24
Last modified: 14 Mar 2024 09:24
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Contributors
Author:
David De Roure
Author:
J. Stephen Downie
Author:
Ichiro Fujinaga
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