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A Shared Vocabulary for Audio Features

  • Alo Allik
  • György Fazekas
  • Simon Dixon
  • Mark Sandler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)

Abstract

The aim of the Shared Open Vocabulary for Audio Research and Retrieval project is to foster greater agreement on the representation of content-based audio features within music research communities. The Audio Feature Ontology has been developed for this purpose as part of a library of modular ontologies in order to increase interoperability, reproducibility and sustainability in music information retrieval workflows. The ontology provides a descriptive framework for expressing different conceptualisations of the audio features domain and allows for publishing content-derived information about audio recordings.

Keywords

Formal Concept Analysis Audio Feature Music Information Retrieval Popular Feature Share Vocabulary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Fazekas, G., Raimond, Y., Jakobson, K., Sandler, M.: An overview of semantic web activities in the OMRAS2 project. Journal of New Music Research (JNMR) 39(4) (2010)Google Scholar
  2. 2.
    Cimiano, P., Hotho, A., Stumme, G., Tane, J.: Conceptual knowledge processing with formal concept analysis and ontologies. In: Eklund, P. (ed.) ICFCA 2004. LNCS (LNAI), vol. 2961, pp. 189–207. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. 3.
    Wille, R.: Concept lattices and conceptual knowledge systems. Computers and Mathematics with Applications 23, 493–515 (1992)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alo Allik
    • 1
  • György Fazekas
    • 1
  • Simon Dixon
    • 1
  • Mark Sandler
    • 1
  1. 1.Queen Mary University of LondonUK

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