Indonesian's Dangdut Music Classification Based on Audio Features

摘要

The uniqueness of modern dangdut music today is in the beat and melody of music that is relatively faster like techno dance music, and the progressive melody arrangement from synthesizer keyboard. In this paper, we will extract audio features from music, and then used that features for classification based on machine learning methods. Support Vector Machine (SVM) was used in this study. In this paper's experiment we use 32 audio music files, consisting of 16 for dangdut music and 16 for techno dance music. The results of this testing get varying accuracy levels, between 80% to 90% for each music audio file that has been successfully classified.