Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Towards the Classification of Musical Works: A Rough Set Approach
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Estimation of musical sound separation algorithm effectiveness employing neural networks
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Machine learning system for estimating the rhythmic salience of sounds
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers from the KES2004 conference
Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing
Extracting emotions from music data
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Towards extracting emotions from music
IMTCI'04 Proceedings of the Second international conference on Intelligent Media Technology for Communicative Intelligence
Transactions on Rough Sets IV
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This research study presents rough set-based decision systems applications to the acoustical domain. Two areas are reviewed for this purpose, namely music information classification and retrieval and noise control. The main aim of this paper is to show results of both measurements of the acoustic climate and a survey on noise threat, conducted in schools and students' music clubs. The measurements of the acoustic climate employ multimedia noise monitoring system engineered at the Multimedia Systems Department of the Gdansk University of Technology. Physiological effects of noise exposure are measured using pure tone audiometry and otoacoustic emission tests. All data are gathered in decision tables in order to explore the significance of attributes related to hearing loss occurence and subjective factors that attribute to the noise annoyance. Future direction of experiments are shortly outlined in Summary.