Abstract
As the use of digital music is getting popular, there is an increasing demand for efficient retrieval of music. To do that, an effective music indexing and natural way of querying a music should be incorporated. This paper describes the FMF system that designed to retrieve tunes from a database on the basis of a few notes which are drawn into a musical sheet applet or sung into a microphone. FMF system accepts both acoustic and visual input from the user, transcribes all the acoustic and common music notational inputs into specific strings such as UDR and LSR. Then, It searches an index for tunes that contain the sung pattern, or patterns similar to it. We implemented a web-based retrieval system and report on its performance through various experiments.
Keywords
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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison Wesley, Reading (1999)
Blackburn, S., DeRoure, D., et al.: A Tool for Content Based Navigation of Music. In: Proceedings of ACM multimedia 1998 - Electronic Proceedings, pp. 361–368 (1998)
Foote, J.T.: Content-Based Retrieval of Music and Audio. In: Multimedia Storage and Archiving Systems II - Proceedings of SPIE, pp. 138–147 (1997)
Foote, J.T.: An Overview of Audio Information Retrieval. ACM-Springer Multimedia Systems, 2–10 (1998)
Ghias, A., et al.: Query by humming - musical information retrieval in an audio database. In: Proceedings of ACM Multimedia 1995 - Electronic Proceedings, pp. 231–236 (1995)
Lu, G.: Indexing and Retrieval of Audio: A Survey. Journal of Multimedia Tools and Applications, 269–290 (2001)
Hawley, M.J. : Structure out of Sound PhD thesis, MIT (1993)
Hwang, E., Park, D.: Popularity-Adaptive Index Scheme for Fast Music Retrieval. In: Proceedings of IEEE Multimedia and Expo. (2002)
Hwang, E., Rho, S.: Fast Melody Finding Based on Memorable Tunes. In: 1st International Symposium on Computer Music Modeling and Retrieval, Montpellier, France, pp. 227–239 (2003)
Huron, D., Sapp, C.S., et al.: Themefinder (2000), http://www.themefinder.org
jMusic, Java library, http://jmusic.ci.qut.edu.au/
Kornstadt, A.: Themefinder: A Web-Based Melodic Search Tool. Computing in Musicology, vol. 11. MIT Press, Cambridge (1998)
Kosugi, N., et al.: A Practical Query-By-Humming System for a Large Music Database. In: Proceedings of the 8th ACM International Conference, pp. 333–342 (2000)
Lemstorm, K., et al.: Retrieving Music - To Index or not to Index. In: ACM International Multimedia Conference, pp. 64–65 (1998)
Lemstorm, K., et al.: SEMEX - An efficient Music Retrieval Prototype. In: Proceeding of Symposium on Music Information Retrieval
McNab, R.J., et al.: Toward the digital music library: tune retrieval from acoustic input. In: Proceedings of the first ACM Conference on Digital Libraries, pp. 11–18 (1996)
McNab, R.J., et al.: The New Zealand digital library MELody index. Digital Libraries Magazine, 11–18 (1997)
Melucci, M., et al.: Musical Information Retrieval using Melodic Surface. In: Proceedings of the ACM Digital Libraries Conference, pp. 152–160 (1999)
Michael, G.: Representing Music Using XML. International Symposium on Music Information Retrieval
MiDiLiB project: Content-based indexing, retrieval, and compression of data in digital music libraries, http://www-mmdb.iai.uni-bonn.de/forschungprojekte/midilib/english/
Rolland, P.Y., et al.: Musical Content-Based Retrieval: an Overview of the Melodiscov Approach and System. In: Proceedings of ACM multimedia 1998 – Electronic Proceedings, pp. 81–84 (1998)
Rolland, P.Y., et al.: usic Information Retrieval: a brief Overview of Current and Forthcoming Research. In: Proceeding of Human Supervision and Control in Engineering and Music
Salosaari, P., et al.: MUSIR-A Retrieval Model for Music. Technical Report RN-1998-1, University of Tampere (1998)
Subramanya, S.R., et al. : Transforms - Based Indexing of Audio Data for Multimedia Databases. In: IEEE International Conference on Multimedia Systems (1997)
Subramanya, S.R., et al. : Use of Transforms for Indexing in Audio Databases. International Conference on Computational Intelligence and Multimedia Applications (1999)
Tseng, Y.H. : Content-Based Retrieval for Music Collections. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 176–182 (1999)
Typke, R., Prechelt, L.: An Interface for melody input. ACM Transactions on Computer-Human Interaction, 133–149 (2001)
Uitdenbogerd, A., Zobel, J.: Manipulation of music for melody matching. In: Proceedings of ACM Multimedia Conference, pp. 235–240 (1998)
Uitdenbogerd, A., Zobel, J.: Melodic matching techniques for large music databases. In: Proceedings of ACM Multimedia Conference, pp. 57–66 (1999)
Wold, E., et al.: Content-based Classification, Search and Retrieval of Audio. IEEE Multimedia 3(3), 27–36
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rho, SM., Hwang, EJ. (2004). FMF(Fast Melody Finder): A Web-Based Music Retrieval System. In: Wiil, U.K. (eds) Computer Music Modeling and Retrieval. CMMR 2003. Lecture Notes in Computer Science, vol 2771. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39900-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-39900-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20922-5
Online ISBN: 978-3-540-39900-1
eBook Packages: Springer Book Archive