09 Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition

Fundamenta Informaticae XXI (2001) 1001–1017 1001IOS PressSound Isolation by Harmonic Peak Partition For Music InstrumentRecognitionXin ZhangDepartment of Computer Science,University of North Carolina, CharlotteNC 28223, USAxinzhang@uncc.edu´Zbigniew W. RasDepartment of Computer ScienceUniversity of North Carolina, CharlotteNC 28223, USAras@uncc.eduAbstract. Identification of music instruments in polyphonic sounds is difficult and challenging, es pecially where heterogeneous harmonic partials are overlapping with each other. This has stimulatedthe research on sound separation for content based automatic music information retrieval. Numer-ous successful approaches on musical data feature extraction and selection have been proposed forinstrument recognition in monophonic sounds. Unfortunately, none of those algorithms can be suc cessfully applied to polyphonic sounds. Based on recent successful researches in sound classificationof monophonic sounds and studies in speech recognition, Moving Picture Experts Group (MPEG)standardized a set of features of the digital audio content data for the purpose of interpretation of theinformation meaning. Most of them are in a form of large matrix or vector of large size, which are notsuitable for traditional data mining algorithms; while other features in smaller size are not sufficientfor instrument recognition in polyphonic sounds. Therefore, these acoustical features themselvesalone cannot be successfully applied ...