Abstract
The objective of the presented research is enabling music retrieval based on intelligent analysis of metadata contained in musical databases. A database was constructed for the purpose of this study including textual data related to approximately 500 compact discs representing various categories of music. The description format of musical recordings stored in the database is compatible to the format of the widely-used CDDB database available in the Internet. An advanced query algorithm was prepared employing the concept of inference rule derivation from flow graphs introduced recently by Pawlak. The created database searching engine utilizes knowledge acquired in advance and stored in flow graphs in order to enable searching CD records.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bainbridge, D., Cunningham, S.J., Downie, J.S.: How People Describe Their Music Information Needs: A grounded Theory Analysis of Music Queries. In: Fourth International Conference on Music Information Retrieval (ISMIR), Baltimore, USA (2003)
Downie, J.S.: Music information retrieval. In: Cronin, B., Medford, N.J. (eds.) Information Today, ch. 7, pp. 295–340 (2003), Available from http://music-ir.org/downie_mir_arist37.pdf
Downie, J.S.: Toward the Scientific Evaluation of Music Information Retrieval Systems. In: Fourth International Conference on Music Information Retrieval (ISMIR), Baltimore, USA (2003)
Ghazfan, D., Indrawan, M., Srinivasan, B.: Towards meaningful Bayesian belief networks. In: IPMU, pp. 841–846 (1996)
Herrera, X., Amatriain, B.E., Serra, X.: Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques. In: Proc. Intern. Symposium on Music Information Retrieval, ISMIR 2000 (2000), http://ismir2000.indiana.edu/
Klopotek, M. A., Intelligent Search Engines (in Polish). Akademicka Oficyna Wydawnicza EXIT Warsaw, p. 344 (2001)
Komorowski, J., Pawlak, Z., Polkowski, L., Skowron, A.: Rough Sets: A Tutorial. In: Pal, S.K., Skowron, A. (eds.) Rough Fuzzy Hybridization: A New Trend in Decision-Making, pp. 3–98. Springer, Heidelberg (1998)
Kostek, B.: Soft Computing in Acoustics, Applications of Neural Networks. In: Fuzzy Logic and Rough Sets to Musical Acoustics, Studies in Fuzziness and Soft Computing. Physica Verlag, Heidelberg (1999)
Kostek, B., Czyzewski, A.: Representing Musical Instrument Sounds for their Automatic Classification. J. Audio Eng. Soc. 49(9), 768–785 (2001)
Kostek, B.: Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques. In: Proc. IEEE Special Issue on Engineering and Music (2004) (to be published)
Lindsay, A.T., Herre, J.: MPEG-7 and MPEG-7 Audio – An Overview. J. Audio Eng. Soc. 49(7/8), 589–594 (2001)
Pachet, F., Westermann, G., Laigre, D.: Musical Data Mining for Electronic Music Distribution, WedelMusic, Firenze (2002)
Pal, S.K., Polkowski, L., Skowron, A.: Rough-Neural Computing. In: Techniques for Computing with Words. Springer, Heidelberg (2004)
Pawlak, Z.: Probability, Truth and Flow Graph. In: International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, Satellite event of ETAPS 2003, Warsaw, Poland, April 12-13. Electronic Notes in Theoretical Computer Science, vol. 82 (4). Elsevier, Amsterdam (2003)
Pawlak, Z.: Elementary Rough Set Granules: Towards a Rough Set Processor. In: Pal, S.K., Polkowski, L., Skowron, A. (eds.) Rough- Neural Computing. Techniques for Computing with Words, pp. 5–13. Springer, Berlin (2004)
Pohlman, K.: The Compact Disk Handbook, A-R editions (1992)
Turtle, H.R., Croft, W.B.: Evaluation of an inference network-based retrieval model. ACM Trans. on Information Systems 9(3), 187–222 (1991)
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
Kostek, B., Czyzewski, A. (2004). Processing of Musical Metadata Employing Pawlak’s Flow Graphs. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B., Świniarski, R.W., Szczuka, M.S. (eds) Transactions on Rough Sets I. Lecture Notes in Computer Science, vol 3100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27794-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-27794-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22374-0
Online ISBN: 978-3-540-27794-1
eBook Packages: Springer Book Archive