Sorry, only registered users can play music in Dunya. Please register. Already registered? then login

Dunya is a research prototype being developed in CompMusic, a research project that studies several world music traditions from an information technologies point of view. It has been developed to evaluate the results of the research, mainly to be able to get feedback from users to further improve the technologies being developed.

The information shown has been gathered from different sources and we have tried our best to get accurate data and to identify its provenance whenever possible.

For more information see how to contact us

Use of Dunya is governed by our Terms and Conditions

For presentations of the website using a projector, we recommend to enable presentation mode. (enable presentation mode)

Using icon made by Freepik from www.flaticon.com

Application Overview

Dunya-makam stores and processes musical data such as audio recordings, music scores and relevant metadata. In the background it performs various music analysis tasks and in the front-end it shows musically relevant representations computed automatically from the data. From the visual interface the user can play the audio recordings while visualizing different representations of the analysis obtained from the data. The most important analysis performed results in the synchronization between the audio recordings and the corresponding musical scores, thus resulting in a visualization of this synchronization.

We currently demonstrate the implementations of these methodologies proposed for the computational analysis of Turkish makam music:
  • Score section extraction [Code]
  • Audio predominant melody extraction [1], [Code]
  • Audio pitch distribution extraction [2], [Code]
  • Score informed tonic identification [3]
  • Score informed tempo estimation [4]
  • Section-level audio-score alignment [5]
  • Note-level audio-score alignment [6]
  • Score-informed predominant melody correction [Code]
  • Audio seyir modeling [7], [Code]
  • Score-informed note modeling [Code]

References

  1. Atlı, H. S., Uyar, B., Şentürk, S., Bozkurt, B., and Serra, X. (2014). Audio feature extraction for exploring Turkish makam music. In Proceedings of 3rd International Conference on Audio Technologies for Music and Media, pages 142–153, Ankara, Turkey.

  2. Bozkurt, B (2008). An Automatic Pitch Analysis Method for Turkish Maqam Music. Journal of New Music Research, 37:1, 1-13

  3. Şentürk, S., Gulati, S., and Serra, X. (2013). Score informed tonic identification for makam music of Turkey. In Proceedings of 14th International Society for Music Information Retrieval Conference, pages 175–180, Curitiba, Brazil.

  4. Holzapfel, A., Şimşekli U., Şentürk S., and Cemgil A. T. (2015). Section-level Modeling of Musical Audio for Linking Performances to Scores in Turkish Makam Music. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 141–145, Brisbane, Australia.

  5. Şentürk, S., Holzapfel, A., and Serra, X. (2014). Linking scores and audio recordings in makam music of Turkey. Journal of New Music Research, 43:34–52.

  6. Şentürk, S., Gulati, S., and Serra, X. (2014). Towards alignment of score and audio recordings of Ottoman-Turkish makam music. In Proceedings of 4th International Workshop on Folk Music Analysis, pages 57–60, Istanbul, Turkey.

  7. B. Bozkurt (2015). Computational analysis of overall melodic progression for Turkish Makam Music. In Penser l’improvisation, pages 289–298, Delatour France, Sampzon.

  8. 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.

  9. Uyar, B., Atlı, H. S., Şentürk, S., Bozkurt, B., and Serra, X. (2014). A corpus for computational research of Turkish makam music. In Proceedings of 1st International Digital Libraries for Musicology Workshop, pages 57–63, London, United Kingdom.