Companion Page of the Paper "Synthesis of Turkish makam music scores using an adaptive tuning approach"

Atlı, H. S., Şentürk S., Bozkurt B., & Serra X. (In Press).  Synthesis of Turkish Makam Music Scores Using An Adaptive Tuning Approach. 7th International Workshop on Folk Music Analysis (FMA).


Music synthesis is one of the most essential features of music notation software and applications aimed at navigating digital music score libraries. Currently, the majority of music synthesis tools are designed for Eurogenetic musics, and they are not able to address the culture-specific aspects (such as tuning, intonation and timbre) of many music cultures. In this paper, we focus on the tuning dimension in musical score playback for Turkish Makam Music (TMM). Based on existing computational tuning analysis methodologies, we propose an automatic synthesis methodology, which allows the user to listen to a music score synthesized according to the tuning extracted from an audio recording. As a proof-of-concept, we also present a desktop application, which allows the users to listen to playback of TMM music scores according to the theoretical temperament or a user specified reference recording. The playback of the synthesis using the tuning extracted from the recordings may provide a better user experience, and it may be used to assist music education, enhance music score editors and complement research in computational musicology.



The dataset consists of relevant metadata and extracted features (predominant melody estimations, pitch distributions, and note models) for 50 audio recordings in 5 different makams. You can access the dataset via Github. Please refer to Section 5.2 in the paper for the statistics of the dataset.


The implementation of the proposed methodology in the paper can be accessible at here. You can also find the implementations of the used methodologies and toolboxes in the paper below.

Dunya-desktop extension

The developed software 'Adaptive Synthesis Extension for Dunya-desktop' is available at here.