Abstract
This article presents experiments aiming at testing the effectiveness of the implemented low-level descriptors for automatic recognition of musical instruments and musical styles. The paper discusses first some problems in audio information analysis related to MPEG-7-based applications. A short overview of the MPEG-7 standard focused on audio information description is also given. System assumptions for automatic identification of music and musical instrument sounds are presented. A discussion on the influence of descriptor selection process on the classification accuracy is included. Experiments are carried out basing on a decision system employing Rough Sets (RS) and Artificial Neural Networks (ANNs).
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References
Bazan, J.G., Szczuka, M.S.: RSES and RSESlib - A Collection of Tools for Rough Set Computations. In: Ziarko, W.P., Yao, Y. (eds.) RSCTC 2000. LNCS (LNAI), vol. 2005, p. 106. Springer, Heidelberg (2001)
Bazan, J.G., Szczuka, M.S., Wróblewski, J.: A New Version of Rough Set Exploration System. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 397–404. Springer, Heidelberg (2002)
Brown, J.C.: Computer identification of musical instruments using pattern recognition with cepstral coefficients as features. J. Acoust. Soc. of America 105, 1933–1941 (1999)
Czyzewski, A., Szczerba, M., Kostek, B.: Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets. Transactions on Rough Sets, 259–284 (2004)
Eronen, A., Klapuri, A.: Musical instrument recognition using cepstral coefficients and temporal features. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2000, vol. 2, p. 753–756 (2000)
Eronen, A.: Comparison of Features for Musical instrument recognition. In: Proc. IEEE Workshop on the Applicationis of Signal Processing to Audio and Acoustics, pp. 19–22 (2001)
Herrera, P., Peeters, G., Dubnov, S.: Automatic classification of musical instrument sounds. J. of New Music Research 32(19), 3–21 (2003)
http://logic.mimuw.edu.pl/~rses/ (RSES homepage)
Hunter, J.: An overview of the MPEG-7 Description Definition Language (DDL). IEEE Transactions on Circuits and Systems for Video Technology 11(6), 765–772 (2001)
Kaminskyj, I.: Automatic Musical Vibrato Detection System. In: Proc. ACMA Conference, pp. 9–15 (1998)
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, 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., Zwan, P.: Wavelet-based automatic recognition of musical instruments. In: Proc. 142nd Meeting of the Acoustical Soc. of America, Fort Lauderdale, Florida, USA, December 3–7, p. 2754 (2001)
Kostek, B., Szczuko, P., Zwan, P.: Processing of Musical Data Employing Rough Sets and Artificial Neural Networks. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 539–548. Springer, Heidelberg (2004)
Kostek, B., Czyzewski, A.: Processing of Musical Metadata Employing Pawlak’s Flow Graphs. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B.z., Świniarski, R.W., Szczuka, M.S. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 285–305. Springer, Heidelberg (2004)
Kostek, B.: Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques. Proc. of the IEEE 92(4), 712–729 (2004)
Lindsay, A.T., Herre, J.: MPEG-7 and MPEG-7 Audio – An Overview. J. Audio Eng. Soc. 49(7/8), 589–594 (2001)
Martin, K.D., Kim, Y.E.: Musical instrument identification: A pattern-recognition approach. In: Proc. 136th Meeting, J. Acoust. Soc. of America 103, 1768 (1998)
Opolko, F., Wapnick, J.: MUMS – McGill University Master Samples. CD’s (1987)
Pal, S.K., Polkowski, L., Skowron, A.: Rough-Neural Computing. Techniques for Computing with Words, Springer, Heidelberg (2004)
Pawlak, Z.: Rough Sets. International J. Computer and Information Sciences 11(5) (1982)
Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer, Boston (1991)
Pawlak, Z.: Probability, Truth and Flow Graph. Electronic Notes in Theoretical Computer Science 82(4) (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, Heidelberg (2004)
Peters, J.F., Skowron, A., Grzymala-Busse, J.W., Kostek, B.z., Świniarski, R.W., Szczuka, M.S. (eds.): Transactions on Rough Sets I. LNCS, vol. 3100. Springer, Heidelberg (2004)
Polkowski, L., Skowron, A.: Rough sets: A perspective. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery 1: Methodology and Applications, pp. 31–56. Physica-Verlag, Heidelberg (1998)
Szczuko, P., Dalka, P., Dabrowski, M., Kostek, B.: MPEG-7-based Low-Level Descriptor Effectiveness in the Automatic Musical Sound Classification. In: 116 Audio Eng. Convention, Preprint No. 6105, Berlin (2004)
Wieczorkowska, A., Wróblewski, J., Synak, P., Ślęzak, D.: Application of temporal descriptors to musical instrument sound recognition. J. of Intelligent Information Systems 21(1), 71–93 (2003)
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Kostek, B., Szczuko, P., Żwan, P., Dalka, P. (2005). Processing of Musical Data Employing Rough Sets and Artificial Neural Networks. In: Peters, J.F., Skowron, A. (eds) Transactions on Rough Sets III. Lecture Notes in Computer Science, vol 3400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427834_5
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DOI: https://doi.org/10.1007/11427834_5
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