Application of Temporal Descriptors to Musical Instrument Sound Recognition

Authors: Wieczorkowska A.A.¹; Wróblewski J.²; Synak P.³; Sacute le¸zak D.⁴

Source: Journal of Intelligent Information Systems, Volume 21, Number 1, July 2003 , pp. 71-93(23)

Publisher: Springer

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Abstract:

An automatic content extraction from multimedia files is recently being extensively explored. However, an automatic content description of musical sounds has not been broadly investigated and still needs an intensive research. In this paper, we investigate how to optimize sound representation in terms of musical instrument recognition purposes. We propose to trace trends in the evolution of values of MPEG-7 descriptors in time, as well as their combinations. Described process is a typical example of KDD application, consisting of data preparation, feature extraction and decision model construction. Discussion of efficiency of applied classifiers illustrates capabilities of possible progress in the optimization of sound representation. We believe that further research in this area would provide background for an automatic multimedia content description.

Keywords: knowledge discovery in databases; music content processing; multimedia content description; MPEG-7

Language: English

Document Type: Research article

Affiliations: 1: Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008 Warsaw, Poland. alicja@pjwstk.edu.pl 2: Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008 Warsaw, Poland. jakubw@pjwstk.edu.pl 3: Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008 Warsaw, Poland. synak@pjwstk.edu.pl 4: Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada; Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, 02-008 Warsaw, Poland. slezak@pjwstk.edu.pl

Publication date: 2003-07-01