C4.5: programs for machine learning
C4.5: programs for machine learning
Toward content-based audio indexing and retrieval and a new speaker discrimination technique
Computational auditory scene analysis
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Audio Content Description in Sound Databases
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
KDD-Based Approach to Musical Instrument Sound Recognition
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
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Increasing growth and popularity of multimedia resources available on the Web brought the need to provide new, more advanced tools needed for their search. However, searching through multimedia data is highly non-trivial task that requires content-based indexing of the data. Our research is focused on automatic extraction of information about the sound timbre, and indexing sound data with information about musical instrument(s) playing in a given segment. Our goal is to perform automatic classification of musical instrument sound from real recordings for broad range of sounds, independently on the fundamental frequency of the sound.