Şentürk, S., & Serra X. (2016). Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment. In Proceedings of 13th Sound and Music Computing Conference (SMC 2016), (pp. 434-441)., Hamburg, Germany.
These examples are compiled to show the readers the main challenges faced in the composition identification task applied on OTMM such as tuning, intonation, heterophony in the performances and descriptiveness of the music scores. You have to register to Dunya-makam to listen to the audio recordings. For a thorough explanation, please refer to Section 2 in the paper.
- Hüseyni Peşrev by Lavtacı Andon
- Muhayyer Sazsemaisi by Tanburi Cemil Bey
The dataset consist of 743 audio recordings and 147 music scores of different compositions. All the relevant metadata is entered and hosted in MusicBrainz. You can access the dataset via github. Please refer to Section 3 in the paper for the statistics of the dataset.
The original code is written in MATLAB. We are currently porting it to Python to integrate it to our Ottoman-Turkish makam music analysis toolbox. In the meantime, please contact the authors to obtain the original MATLAB code.
The complete results can be downloaded from Zenodo. The results and its discussion are given in detail in Sections 7 and 8.