@ARTICLE { Rsds4709,
author = {Czyzewski, Andrzej and Kostek, Bozena and Szczuko, Piotr and Zwan, Pawel}, 
title = {Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets}, 
journal = {Transactions on Rough Sets}, 
number = 	{(no. IX)}, 
volume = 5390, 
pages = {455--473}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2008, 
issn = {0302-9743}, 
isbn = {978-3-540-89875-7}, 
abstract = {The aim of the research study presented in this paper is the automatic recognition of a singing voice. For this purpose, a database containing sample recordings of trained and untrained singers was constructed. Based on these recordings, certain voice parameters were extracted. Two recognition categories were defined â€“ one reflecting the skills of a singer (quality), and the other reflecting the type of the singing voice (type). The paper also presents the parameters designed especially for the analysis of a singing voice and gives their physical interpretation. Decision systems based on artificial neutral networks and rough sets are used for automatic voice quality/ type classification. Results obtained from both decision systems are then compared and conclusions are derived.}, 
keywords = {singing voice, feature extraction, automatic classification, artificial neural networks, rough sets, music information retrieval, }, 
}