Turkish maqam music symbolic data (SymbTr v3.0)
Authors/Creators
-
1.
Yıldız Technical University
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2.
Istanbul Technical University
Description
SymbTr Turkish Makam Music Symbolic Data Collection, v. 3.0
SymbTr is a collection machine readable symbolic scores aimed at performing computational studies of Turkish Makam music. SymbTr is currently the biggest machine readable collection of Turkish makam music. The latest version of the SymbTr collection consists of 3000 pieces from 164 makams, 135 usuls, 61 forms, 622 composer/lyricist about 1.200.000 musical notes and 145 hours nominal playback time.
The scores are selected from reliable sources that consists of musical pieces from Turkish art and folk music. Special care has been taken to select works covering a broad historical time span among the ones which are still performed in the contemporary practice.
SymbTr-scores are provided in text, MusicXML, PDF, MIDI and mu2 formats. MusicXML is a standard open format for exchanging digital sheet music, which can be read by popular music notation software such as MuseScore and Sibelius. mu2 is a format, which can be read by Mus2, the microtonal notation software.
Please cite the following publication if you use the data collection in your work:
M. Kemal Karaosmanoğlu. A Turkish makam music symbolic database for music information retrieval: SymbTr. In Proceedings of 13th International Society for Music Information Retrieval Conference (ISMIR), pages 223–228, 2012.
Files
Turkish maqam music pieces in time series format_3000 rows x 365 columns.csv
Files
(598.2 MB)
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Additional details
Software
- Repository URL
- https://github.com/MTG/SymbTr/tree/v2.4.3
References
- Karaosmanoğlu, M. K. (2012). A Turkish makam music symbolic database for music information retrieval: Symbtr. Proceedings of the 13th ISMIR Conference, Porto, Portugal, 1(13), 223–228. http://compmusic.upf.edu/system/files/static_files/KemalKaraosmanoglu_Ismir2012.pdf
- Karaosmanoğlu, M. K., & Taşçı, F. (2014). Türk musikisi için Symbtr sembolik derlemi üzerinde otomatik ezgi analizi. Porte Akademik: Müzik ve Dans Araştırmaları Dergisi / Journal of Music and Dance Studies, 10(1), 98–115.