Turkish Makam Music Symbolic Data Collection
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 2200 pieces from 155 makams, 88 usuls, 56 forms, about 865.000 musical notes and 80 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, Finale 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.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the SymbTr-pdf repository. The repository is also added as a submodule to this repository.
SymbTr-extras repository has many such methods. You can request new features in the issue page, if it's not yet available.
You can use the symbtrdataextractor repository to get the section information.
symbtrdataextractor can also be called with MBID input, which will query the desired metadata in MusicBrainz. You can obtain the relevant mbid for each composition from the file symbTr_mbid.json.
You can use the adaptive-tuning package for synthesizing the scores according to the theoretical tuning (Arel-Ezgi-Uzdilek theory) or the tuning performed in a recording.
You can follow the instructions in the makam-symbolic-phrase-segmentation repository to divide the scores into phrases.
The beams are not currently connected, because we do not include any beam information in the MusicXML files. Ideally the beams should be connected according to the beat locations of the usul of the piece. We plan to add this in a future release.
Until then, you can select automatic beaming in your score editor. For example, autobeaming can be done in Musescore 2.0 by:
or
We use the MusicXMLConverter package to automatically generate the files using the musical content in the txt files and the metadata stored in the header of the mu2 files. The package is under rapid development and we hope to improve the MusicXML files in the upcoming months.
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 2200 pieces from 155 makams, 88 usuls, 56 forms, about 865.000 musical notes and 80 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, Finale 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.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the SymbTr-pdf repository. The repository is also added as a submodule to this repository.
SymbTr-extras repository has many such methods. You can request new features in the issue page, if it's not yet available.
You can use the symbtrdataextractor repository to get the section information.
symbtrdataextractor can also be called with MBID input, which will query the desired metadata in MusicBrainz. You can obtain the relevant mbid for each composition from the file symbTr_mbid.json.
You can use the adaptive-tuning package for synthesizing the scores according to the theoretical tuning (Arel-Ezgi-Uzdilek theory) or the tuning performed in a recording.
You can follow the instructions in the makam-symbolic-phrase-segmentation repository to divide the scores into phrases.
The beams are not currently connected, because we do not include any beam information in the MusicXML files. Ideally the beams should be connected according to the beat locations of the usul of the piece. We plan to add this in a future release.
Until then, you can select automatic beaming in your score editor. For example, autobeaming can be done in Musescore 2.0 by:
or
We use the MusicXMLConverter package to automatically generate the files using the musical content in the txt files and the metadata stored in the header of the mu2 files. The package is under rapid development and we hope to improve the MusicXML files in the upcoming months.
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 2200 pieces from 155 makams, 88 usuls, 56 forms, about 865.000 musical notes and 80 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, Finale 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.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the SymbTr-pdf repository. The repository is also added as a submodule to this repository.
SymbTr-extras repository has many such methods. You can request new features in the issue page, if it's not yet available.
You can use the symbtrdataextractor repository to get the section information.
symbtrdataextractor can also be called with MBID input, which will query the desired metadata in MusicBrainz. You can obtain the relevant mbid for each composition from the file symbTr_mbid.json.
You can use the adaptive-tuning package for synthesizing the scores according to the theoretical tuning (Arel-Ezgi-Uzdilek theory) or the tuning performed in a recording.
You can follow the instructions in the makam-symbolic-phrase-segmentation repository to divide the scores into phrases.
The beams are not currently connected, because we do not include any beam information in the MusicXML files. Ideally the beams should be connected according to the beat locations of the usul of the piece. We plan to add this in a future release.
Until then, you can select automatic beaming in your score editor. For example, autobeaming can be done in Musescore 2.0 by:
or
We use the MusicXMLConverter package to automatically generate the files using the musical content in the txt files and the metadata stored in the header of the mu2 files. The package is under rapid development and we hope to improve the MusicXML files in the upcoming months.
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 2200 pieces from 155 makams, 88 usuls, 56 forms, about 865.000 musical notes and 80 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, Finale 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.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the SymbTr-pdf repository. The repository is also added as a submodule to this repository.
You can use the symbtrdataextractor package to get the section information.
symbtrdataextractor can also be called with MBID input, which will query the desired metadata in MusicBrainz. You can obtain the relevant mbid for each composition from the file symbTr_mbid.json.
You can use the adaptive-tuning package for synthesizing the scores according to the theoretical tuning (Arel-Ezgi-Uzdilek theory) or the tuning performed in a recording.
The beams are not currently connected, because we do not include any beam information in the MusicXML files. Ideally the beams should be connected according to the beat locations of the usul of the piece. We plan to add this in a future release.
Until then, you can select automatic beaming in your score editor. For example, autobeaming can be done in Musescore 2.0 by:
or
We use the MusicXMLConverter package to automatically generate the files using the musical content in the txt files and the metadata stored in the header of the mu2 files. The package is under rapid development and we hope to improve the MusicXML files in the upcoming months.
Given the lack of machine readable symbolic data to perform computational studies of Turkish Makam music, we have put together a collection of machine readable symbolic scores called SymbTr. Currently, the SymbTr collection consists of 2200 pieces from 155 makams, 88 usuls, 56 forms, about 865.000 musical notes and 80 hours nominal playback time.
The data is drawn 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 while being works that are still performed today.
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, Finale 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:
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.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the SymbTr-pdf repository. The repository is also added as submodule to this repository.
You can use the symbtrdataextractor package to get the section information.
symbtrdataextractor can also be called with MBID input, which will query the desired metadata in MusicBrainz. You can obtain the relevant mbid for each composition from symbTr_mbid.json.
The beams are not currently connected, because we do not include any beam information in the MusicXML files. Ideally the beams should be connected according to the beat locations of the usul of the piece. We plan to add this in a future release.
Until then, you can select automatic beaming in your score editor. For example, autobeaming can be done in Musescore 2.0 by:
or
Given the lack of machine readable symbolic data to perform computational studies of Turkish Makam music, we have put together a collection of machine readable symbolic scores called SymbTr. Currently, the SymbTr collection consists of 2205 pieces from 155 makams, 84 usuls, 59 forms, about 865.000 musical notes and 80 hours nominal playback time.
The data is drawn 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 while being works that are still performed today.
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, Finale 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:
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.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the SymbTr-pdf repository. The repository is also added as submodule to this repository.
You can use the symbtrdataextractor package to get the section information.
symbtrdataextractor can also be called with MBID input, which will query the desired metadata in MusicBrainz. You can obtain the relevant mbid for each composition from symbTr_mbid.json.
The beams are not currently connected, because we do not include any beam information in the MusicXML files. Ideally the beams should be connected according to the beat locations of the usul of the piece. We plan to add this in a future release.
Until then, you can select automatic beaming in your score editor. For example, autobeaming can be done in Musescore 2.0 by:
or
Given the lack of machine readable symbolic data to perform computational studies of Turkish Makam music, we have put together a collection of machine readable symbolic scores, SymbTr, which contains data in text, MusicXML, PDF, MIDI and mu2 formats. This is raw data drawn 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 while being works that are still performed today.
Please cite the following publication if you use the data collection in your work:
Karaosmanoğlu, M. K. (2012). A Turkish makam music symbolic database for music information retrieval: SymbTr. Proc. Int. Society for Music Information Retrieval (ISMIR).
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the CompMusic website (http://compmusic.upf.edu/node/140). You can also follow the link in the corresponding /PDF folder to download the files.
Given the lack of machine readable symbolic data to perform computational studies of Turkish Makam music, we have put together a collection of machine readable symbolic scores, SymbTr, which contains data in text, MusicXML, PDF, MIDI and mu2 formats. This is raw data drawn 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 while being works that are still performed today.
This version also includes the folder symbTr_phraseSegmented. This folder consists of manually segmented SymbTr files (~490 pieces) into phrases and also contain some makam-transition labels.
Please cite the following publication if you use the data collection in your work:
Karaosmanoğlu, M. K. (2012). A Turkish makam music symbolic database for music information retrieval: SymbTr. Proc. Int. Society for Music Information Retrieval (ISMIR).
Please also cite the following publication if you use the phrase segmented text scores in your work:
M. K. Karaosmanoğlu, Barış Bozkurt, Andre Holzapfel and Nilgün Doğrusöz Dişiaçık, "A symbolic dataset of Turkish makam music phrases", Proceedings of FMA, 2014.
Adding the PDFs to the repository would make it fairly bulky. You can download the PDFs from the CompMusic website (http://compmusic.upf.edu/node/140). You can also follow the link in the corresponding /PDF folder to download the files.
Given the lack of machine readable symbolic data to perform computational studies of Turkish Makam music, we have put together a collection of machine readable symbolic scores, SymbTr, which contains data in text, PDF and MIDI formats. This is raw data drawn 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 while being works that are still performed today.
Please cite the following publication if you use the dataset in your work:
Karaosmanoğlu, M. K. (2012). A Turkish makam music symbolic database for music information retrieval: SymbTr. Proc. Int. Society for Music Information Retrieval (ISMIR).
This is the first version of the SymbTr collection (~1700 pieces). This version is kept for documentation and research reproducibility purposes. Please download the latest release from the github repository (https://github.com/MTG/SymbTr) for the up-to-date collection.
You can find the pdf's below in the attachments.