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Content Based Music Retrieval

  • Reference work entry
Encyclopedia of Multimedia

Synonyms

Music Information Retrieval (MIR) ; Searching symbolic music ; Searching musical audio

Definition

Content-based music retrieval systems search audio data and notated music based on content.

Introduction

Two main groups of Music Information Retrieval (MIR) systems for content-based searching can be distinguished, systems for searching audio data and systems for searching notated music. There are also hybrid systems that first transcribe audio signal into a symbolic description of notes and then search a database of notated music. An example of such music transcription is the work of Klapuri [1], which in particular is concerned with multiple fundamental frequency estimation, and musical meter estimation, which has to do with ordering the rhythmic aspects of music. Part of the work is based on known properties of the human auditory system.

Content-based music search systems can be useful for a variety of purposes and audiences:

  1. 1.

    In record stores, customers may only know a tune...

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Notes

  1. 1.

    “Cepstrum” is a contraction of “perception” and “spectrum”.

References

  1. A. Klapuri, “Signal Processing Methods for the Automatic Transcription of Music,” PhD thesis, Tampere University of Technology, 2004.

    Google Scholar 

  2. D. Byrd and T. Crawford, “Problems of Music Information Retrieval in the Real World,” Information Processing and Management, Vol. 38, 2002, pp. 249–272.

    Google Scholar 

  3. MIDI, Musical Instrument Digital Interface, www.midi.org.

  4. J.H. Lee and J. Downie, “Survey of Music Information Needs, Uses, and Seeking Behaviours: Preliminary Findings,” ISMIR Proceedings, pp. 441–446, 2004.

    Google Scholar 

  5. G. Tzanetakis and P. Cook, “Musical Genre Classification of Audio Signals,” IEEE Transactions on Speech and Audio Processing, Vol. 10, No. 5, July 2002.

    Google Scholar 

  6. A. Kornstädt, “Themefinder: A Web-Based Melodic Search Tool,” in W. Hewlett and E. Selfridge-Field (Eds.), “Melodic Similarity: Concepts, Procedures, and Applications, Computing in Musicology,” Vol. 11. MIT, Cambridge, 1998.

    Google Scholar 

  7. L. Prechelt and R. Typke, “An Interface for Melody Input,” ACM Transactions on Computer–Human Interaction, Vol. 8, No. 2, pp. 133–149, 2001.

    Google Scholar 

  8. R. Cilibrasi, P. Vitanyi, and R. de Wolf, “Algorithmic Clustering of Music Based on String Compression,” Computer Music Journal, Vol. 28, No. 4, 2004, pp. 49–67.

    Google Scholar 

  9. J.S. Downie, “Evaluating a Simple Approach to Music Information Retrieval: Conceiving Melodic n-Grams as Text,” PhD Thesis, University of Western Ontario, London, Ontario, Canada, 1999.

    Google Scholar 

  10. R. Typke, P. Giannopoulos, R.C. Veltkamp, F. Wiering, and R. van Oostrum, “Using Transportation Distances for Measuring Melodic Similarity,” ISMIR Proceedings, pp. 107–114, 2003.

    Google Scholar 

  11. M. Clausen, R. Engelbrecht, D. Meyer, and J. Schmitz, “PROMS: A Web-Based Tool for Searching in Polyphonic Music,” ISMIR Proceedings, 2000.

    Google Scholar 

  12. E. Ukkonen, K. Lemström, and V. Mäkinen, “Geometric Algorithms for Transposition Invariant Content-Based Music Retrieval,” ISMIR 2003 Proceedings of the Fourth International Conference on Music Information Retrieval, pp. 193–199.

    Google Scholar 

  13. H. Hoos, K. Renz, and M. Görg, “GUIDO/MIR – An Experimental Musical Information Retrieval System Based on GUIDO Music Notation,” ISMIR Proceedings, pp. 41–50, 2001.

    Google Scholar 

  14. J. Foote, “An Overview of Audio Information Retrieval,” Multimedia Systems, Vol. 7, No. 1, 1999, pp. 2–10.

    Google Scholar 

  15. M. Clausen and F. Kurth, “A Unified Approach to Content Based and Fault Tolerant Music Identification,” Proceedings of International Conference on Web Delivering of Music, 2002.

    Google Scholar 

  16. A. Rauber, E. Pampalk, and D. Merkl, “The SOMenhanced Jukebox: Organization and Visualization of Music Collections Based on Perceptual Models,” Journal of New Music Research (JNMR), Vol. 32, No. 2, pp. 193–210, 2003.

    Google Scholar 

  17. E. Wold, T. Blum, D. Keislar, and J. Wheaton, “Content-Based Classification, Search, and Retrieval of Audio,” IEEE Multimedia, Vol. 3, No. 3, pp. 27–36, 1996.

    Google Scholar 

  18. C.-C. Liu and P.-J. Tsai, “Content-Based Retrieval of MP3 Music Objects,” Proceedings of the 10th International Conference on Information and Knowledge Management, pp. 506–511, 2001.

    Google Scholar 

  19. P. Cano, E. Batlle, T. Kalker, and J. Haitsma, “A Review of Algorithms for Audio Fingerprinting,” Proceedings of the International Workshop on Multimedia Signal Processing, 2002.

    Google Scholar 

  20. J. Pickens, J.P. Bello, G. Monti, T. Crawford, M. Dovey, M. Sandler, and D. Byrd, “Polyphonic Score Retrieval Using Polyphonic Audio Queries: A Harmonic Modelling Approach,” Proceedings ISMIR 2002, Third International Conference on Music Information Retrieval.

    Google Scholar 

  21. A. Ghias et al., “Query by Humming: Musical Information Retrieval in an Audio Database,” Proceedings of Third ACM International Conference on Multimedia, pp. 231–236, 1995.

    Google Scholar 

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Veltkamp, R.C., Wiering, F., Typke, R. (2008). Content Based Music Retrieval. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_272

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