Rough Sets and Current Trends in Computing

Volume 5306 of the series Lecture Notes in Computer Science pp 448-456

Hierarchical Tree for Dissemination of Polyphonic Noise

  • Rory LewisAffiliated withUniversity of Colorado at Colorado Springs
  • , Amanda CohenAffiliated withUniversity of North Carolina at Charlotte
  • , Wenxin JiangAffiliated withUniversity of North Carolina at Charlotte
  • , Zbigniew RaśAffiliated withUniversity of North Carolina at Charlotte

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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.