Abstract

In this paper, the problem of automatically assigning a piece of traditional Turkish music into a class of rhythm referred to as usul is addressed. For this, an approach for rhythmic similarity measurement based on scale transforms has been evaluated on a set of MIDI data. Because this task is related to time signature estimation, the accuracy of the proposed method is evaluated and compared with a state of the art time signature estimation approach. The results indicate that the proposed method can be successfully applied to audio signals of Turkish music and that it captures relevant properties of the individual usul. 1.

Citations