Abstract
This paper presents system assumptions for automatic recognition of music and musical sounds. An overview of the MPEG-7 standard, focused on audio information description, is given. The paper discusses some problems in audio information analysis related to efficient MPEG-7-based applications. The effectiveness of the implemented low-level descriptors for automatic recognition of musical instruments is presented on the basis of experiments. A discussion on the influence of the choice of descriptors on the recognition score is included. Experiments are carried out basing on a decision system employing Rough Sets and Artificial Neural Networks. Conclusions are also included.
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Kostek, B., Szczuko, P., Zwan, P. (2004). Processing of Musical Data Employing Rough Sets and Artificial Neural Networks. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_65
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DOI: https://doi.org/10.1007/978-3-540-25929-9_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22117-3
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