Analysis of Sound Features for Music Timbre Recognition
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds
Engineering Applications of Artificial Intelligence
Parameter-Based Categorization for Musical Instrument Retrieval
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Quality of musical instrument sound identification for various levels of accompanying sounds
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
minedICE: a knowledge discovery platform for neurophysiological artificial intelligence
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Deterministic finite automata in the detection of EEG spikes and seizures
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
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In the continuing investigation of identifying musical instruments in a polyphonic domain, we present a system that can identify an instrument in a polyphonic domain with added noise of numerous interacting and conflicting instruments in an orchestra. A hierarchical tree specifically designed for the breakdown of polyphonic sounds is used to enhance training of classifiers to correctly estimate an unknown polyphonic sound. This paper shows how goals to determine what hierarchical levels and what combination of mix levels is most effective has been achieved. Learning the correct instrument classification for creating noise together with what levels and mixed the noise optimizes training sets is crucial in the quest to discover instruments in noise. Herein we present a novel system that disseminates instruments in a polyphonic domain.