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UsulandMakamdriven automatic melodic segmentation for Turkish music
2014
Journal of New Music Research
Automatic melodic segmentation is a topic studied extensively, aiming at developing systems that perform grouping of musical events. Here, we consider the problem of automatic segmentation via supervised learning from a dataset containing segmentation labels of an expert. We present a statistical classification-based segmentation system developed specifically for Turkish makam music. The proposed system uses two novel features, a makam-based and an usul-based feature, together with features
doi:10.1080/09298215.2014.924535
fatcat:r22fc3hftzfxnc6iqb7x7ch4oy