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Determining Key Features of Recognition Korean Traditional Music Using Spectrogram  

Kim Jae Chun (Department of Electronics Engineering, Inha University)
Kwak Kyung Sup (Graduate School of Information Technology and Telecommunications, Inha University)
Abstract
To realize a traditional music recognition system, some characteristics pertinent to Far East Asian music should be found. Using Spectrogram, some distinct attributes of Korean traditional music are surveyed. Frequency distribution, beat cycle and frequency energy intensity within samples have distinct characteristics of their own. Experiment is done for pre-experimentation to realize Korean traditional music recognition system. Using characteristics of Korean traditional music, $94.5\%$ of classification accuracy is acquired. As Korea, Japan and China have the same musical roots, both in instruments and playing style, analyzing Korean traditional music can be helpful in the understanding of Far East Asian traditional music.
Keywords
Music; Spectral analysis; Classification algorithm; Auditory model; Feature extraction;
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