The CALMA Project

The Computational Analysis of the Live Music Archive (CALMA) project aims to facilitate investigation and scholarship related to live music through development of a Linked Data service combining metadata captured during deposition of audio to the Internet Archive, with computational analyses over these recordings through feature extraction, clustering, and classification.

Metadata and raw analysis results are published on the http://calma.linkedmusic.org/data server along with detailed information about the provenance of the analysis results. Links to the analysis data are also provided from the original etree data set.

For an example, see the song Never Gonna Change by the Drive By Truckers, Live at the B&A Warehouse on 26/11/2004.

Publications

The work was presented as a late breaking demo at ISMIR 2014.

• S. Bechhofer, S.Dixon, G. Fazekas, T. Wilmering and K. Page. Computational Analysis of the Live Music Archive. ISMIR 2014: 15th International Society for Music Information Retrieval Conference.

Contact

The CALMA project is a collaboration between Queen Mary University of London, University of Oxford and University of Manchester and was funded by the Semantic Media Network.

• Sean Bechhofer, University of Manchester
• Kevin Page, University of Oxford
• George Fazekas, Thomas Wilmering, Simon Dixon, Queen Mary University of London