Abstract
Increasing growth and popularity of multimedia resources available on the Web brought the need to provide new, more advanced tools needed for their search. However, searching through multimedia data is highly non-trivial task that requires content-based indexing of the data. Our research is focused on automatic extraction of information about the sound timbre, and indexing sound data with information about musical instrument(s) playing in a given segment. Our goal is to perform automatic classification of musical instrument sound from real recordings for broad range of sounds, independently on the fundamental frequency of the sound.
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
Brown, J.C., Houix, O., McAdams, S.: Feature dependence in the automatic identification of musical woodwind instruments. J. Acoust. Soc. of America 109, 1064–1072 (2001)
Hornbostel, E.M.V., Sachs, C.: Systematik der Musikinstrumente. Ein Versuch. Zeitschrift fur Ethnologie 46(4-5) 553–590 (1914), available at http://www.uni-bamberg.de/ppp/ethnomusikologie/HS-Systematik/HS-Systematik
ISO/IEC JTC1/SC29/WG11, MPEG-7 Overview (version 9), Pattaya (March 2003), available at http://www.chiariglione.org/mpeg/standards/mpeg-7/mpeg-7.htm
Kaminskyj, I.: Multi-feature Musical Instrument Classifier., MikroPolyphonie 6 (2000) online journal at, http://farben.latrobe.edu.au/
Manjunath, B.S., Salembier, P., Sikora, T. (eds.): Introduction to MPEG-7. Multimedia Content Description Interface. J. Wiley & Sons, Chichester (2002)
Martin, K.D., Kim, Y.E.: Musical instrument identification: a pattern-recognition approach. In: Proceedings of 136th Meeting of the Acoustical Society of America, Norfolk, VA (October 1998)
Øhrn, A., Komorowski, J., Skowron, A., Synak, P.: The design and implementation of a knowledge discovery toolkit based on rough sets: The ROSETTA system. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery 1: Methodology and Applications, ch. 19. Studies in Fuzziness and Soft Computing, vol. (18), pp. 376–399. Physica-Verlag, Heidelberg (1998)
Opolko, F., Wapnick, J.: MUMS – McGill University Master Samples, CD’s (1987)
Peltonen, V., Tuomi, J., Klapuri, A., Huopaniemi, J., Sorsa, T.: Computational Auditory Scene Recognition. In: International Conference on Acoustics Speech and Signal Processing ICASSP 2002, Orlando, Florida (May 2002)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)
Rosenthal, D., Okuno, H.G. (eds.): Computational Auditory Scene Analysis. In: Proceedings of the IJCAI-1995 Workshop. Lawrence Erlbaum Associates, Mahwah (1998)
Slezak, D., Synak, P., Wieczorkowska, A., Wroblewski, J.: KDD-based approach to musical instrument sound recognition. In: Hacid, M.-S., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds.) ISMIS 2002. LNCS (LNAI), vol. 2366, pp. 29–37. Springer, Heidelberg (2002)
Sowa, J.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks/Cole Publishing Co., Pacific Grove (2000)
Subrahmanian, V.S.: Multimedia Database Systems. Morgan Kaufmann Publishers, San Francisco (1998)
Wieczorkowska, A.: The recognition efficiency of musical instrument sounds depending on parameterization and type of a classifier, PhD. thesis (in Polish), Technical University of Gdansk, Poland (1999)
Wieczorkowska, A., Ras, Z.: Audio content description in sound databases. In: Zhong, N., Yao, Y., Ohsuga, S., Liu, J. (eds.) WI 2001. LNCS (LNAI), vol. 2198, pp. 175–183. Springer, Heidelberg (2001)
Wyse, L., Smoliar, S.W.: Toward Content-Based Audio Indexing and Retrieval and a New Speaker Discrimination Technique. In: Rosenthal, D., Okuno, H.G. (eds.) Computational Auditory Scene Analysis, Proceedings of the IJCAI-1995 Workshop. Lawrence Erlbaum Associates, Mahwah (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wieczorkowska, A.A., Raś, Z.W. (2005). Do We Need Automatic Indexing of Musical Instruments?. In: Bolc, L., Michalewicz, Z., Nishida, T. (eds) Intelligent Media Technology for Communicative Intelligence. IMTCI 2004. Lecture Notes in Computer Science(), vol 3490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558637_24
Download citation
DOI: https://doi.org/10.1007/11558637_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29035-3
Online ISBN: 978-3-540-31738-8
eBook Packages: Computer ScienceComputer Science (R0)