Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7488))

Abstract

MusiClef is a multimodal music benchmarking initiative that will be running a MediaEval 2012 Brave New Task on Multimodal Music Tagging. This paper describes the setup of this task, showing how it complements existing benchmarking initiatives and fosters less explored methodological directions in Music Information Retrieval. MusiClef deals with a concrete use case, encourages multimodal approaches based on these, and strives for transparency of results as much as possible. Transparency is encouraged at several levels and stages, from the feature extraction procedure up to the evaluation phase, in which a dedicated categorization of ground truth tags will be used to deepen the understanding of the relation between the proposed approaches and experimental results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aucouturier, J.-J.: Sounds Like Teen Spirit: Computational Insights into the Grounding of Everyday Musical Terms. In: Minett, J., Wang, W. (eds.) Language, Evolution and the Brain. Academia Sinica Press (2009)

    Google Scholar 

  2. Bertin-Mahieux, T., Eck, D., Mandel, M.: Automatic Tagging of Audio: The State-of-the-Art. In: Wang, W. (ed.) Machine Audition: Principles, Algorithms and Systems. IGI Publishing (2010)

    Google Scholar 

  3. Bertin-Mahieux, T., Ellis, D.P., Whitman, B., Lamere, P.: The Million Song Dataset. In: Proc. ISMIR (2011)

    Google Scholar 

  4. Downie, J.S., West, K., Ehmann, A.F., Vincent, E.: The 2005 Music Information Retrieval Evaluation Exchange: Preliminary Overview. In: Proc. ISMIR (2005)

    Google Scholar 

  5. Larson, M., Soleymani, M., Eskevich, M., Serdyukov, P., Ordelman, R., Jones, G.: The Community and the Crowd: Developing Large-scale Data Collections for Multimedia Benchmarking. IEEE MultiMedia (to appear, 2012)

    Google Scholar 

  6. Lartillot, O., Toiviainen, P.: A Matlab Toolbox for Musical Feature Extraction from Audio. In: Proc. DAFx (2007)

    Google Scholar 

  7. Liem, C.C.S., Müller, M., Eck, D., Tzanetakis, G., Hanjalic, A.: The Need for Music Information Retrieval with User-Centered and Multimodal Strategies. In: Proc. MIRUM (2011)

    Google Scholar 

  8. Lissa, Z.: Ästhetik der Filmmusik. Henschelverlag, Berlin (1965)

    Google Scholar 

  9. Mandel, M.I., Pascanu, R., Eck, D., Bengio, Y., Aiello, L.M., Schifanella, R., Menczer, F.: Contextual Tag Inference. ACM TOMCCAP 1(7S) (October 2008)

    Google Scholar 

  10. Orio, N., Rizo, D., Miotto, R., Montecchio, N., Schedl, M., Lartillot, O.: MusiCLEF: A Benchmark Activity in Multimodal Music Information Retrieval. In: Proc. ISMIR (2011)

    Google Scholar 

  11. Schedl, M., Pohle, T.: Enlightening the Sun: A User Interface to Explore Music Artists via Multimedia Content. MTAP 49(1) (August 2010)

    Google Scholar 

  12. Seyerlehner, K., Schedl, M., Knees, P., Sonnleitner, R.: A Refined Block-Level Feature Set for Classification, Similarity and Tag Prediction. In: Extended Abstract to MIREX (2011)

    Google Scholar 

  13. Sordo, M.: Semantic Annotation of Music Collections: A Computational Approach. Ph.D. thesis, Universitat Pompeu Fabra, Barcelona, Spain (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Orio, N., Liem, C.C.S., Peeters, G., Schedl, M. (2012). MusiClef: Multimodal Music Tagging Task. In: Catarci, T., Forner, P., Hiemstra, D., Peñas, A., Santucci, G. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics. CLEF 2012. Lecture Notes in Computer Science, vol 7488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33247-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33247-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33246-3

  • Online ISBN: 978-3-642-33247-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics