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Computational Analysis of the Live Music Archive

S.Bechhofer, S. Dixon, G. Fazekas, T. WIlmering, K. Page

In: ISMIR2014, 15th International Society for Music Information Retrieval Conference; Tapei, Taiwan. 2014.

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Abstract

The Computational Analysis of the Live Music Archive (CALMA) project aims to facilitate investigation and schol- arship related to live music through development of a Link- ed Data service combining metadata captured during depo- sition of audio to the Internet Archive, with computational analyses over these recordings through feature extraction, clustering, and classification. In this poster and demon- strator we introduce the architecture, tools, and data struc- tures we have developed to create this combined resource, and provide a first release of the dataset including prove- nance metadata to assist its interrogation and reuse. We also show the early results of questions assessed over the data that (i) aid resolution of uncertain metadata, identifi- cation of potential errors, and validation of existing entries, and (ii) provide metrics for broad patterns in performance variation that can be used to select subsets within the data for further longitudinal and musicological study.