Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Automatic Rhythm Retrieval from Musical Files
Transactions on Rough Sets IX
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets
Transactions on Rough Sets IX
The domain of acoustics seen from the rough sets perspective
Transactions on rough sets VI
Gaze-tracking-based audio-visual correlation analysis employing quality of experience methodology
Intelligent Decision Technologies
Report of the ISMIS 2011 contest: music information retrieval
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Wavelet ridges for musical instrument classification
Journal of Intelligent Information Systems
Zdzisław pawlak: life and work
Transactions on Rough Sets V
Music Recommendation Based on Multidimensional Description and Similarity Measures
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Adaptive Method of Adjusting Flowgraph for Route Reconstruction in Video Surveillance Systems
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.