Representations of musical signals
Music, signals, and representations: a survey
Representations of musical signals
Introduction to artificial neural systems
Introduction to artificial neural systems
C4.5: programs for machine learning
C4.5: programs for machine learning
Digital Signal Processing: A Practical Approach
Digital Signal Processing: A Practical Approach
Audio Content Description in Sound Databases
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Wavelet ridges for musical instrument classification
Journal of Intelligent Information Systems
Analysis of Recognition of a Musical Instrument in Sound Mixes Using Support Vector Machines
Fundamenta Informaticae
Musical Sound Classification based on Wavelet Analysis
Fundamenta Informaticae - Intelligent Systems
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In order to search through a sound database, information about the musical contents has to be attached to the file, otherwise the user has to look for the specific musical information by himself. Wavelet analysis is one of possible tools that can be used as a basis for automatic classification of musical data. In this paper, the author presents wavelet-based parameters extracted from sounds of musical instruments. These parameters have been used as a basis of automatic classification of musical instrument sounds. Tests evaluating the efficiency of such parameterization were performed by means of rough set based algorithms and decision trees. Results of these tests are presented in this paper.