@INPROCEEDINGS { Rsds2175,
author = {Zwan, Pawel and Szczuko, Piotr and Kostek, Bozena}, 
title = {Processing of Musical Data Employing Rough Sets and Artificial Neural Networks}, 
booktitle = {Rough Sets and Current Trends in Computing}, 
conference = {Rough Sets and Current Trends in Computing}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 3066, 
pages = {539-548}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
month = {June}, 
year = 2004, 
editor = {Tsumoto, Shusaku and Slowinski, Roman W. and Komorowski, Jan and Grzymala-Busse, Jerzy W.}, 
issn = {0302-9743}, 
isbn = {3-540-22117-4}, 
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.}, 
keywords = {music information retrieval, MPEG-7 low-level descriptors, rough sets, artificial neural networks (ANN), decision systems, }, 
}