In many music cultures, the melodies adhere to a particular melodic framework, which specifies the melodic characteristics of the music. While the function and the understanding of these frameworks are distinct from a cultural perspective, in a broader sense they may be considered as the “modes” of the studied music culture. Mode recognition is an important complementary task in computational musicology, music discovery, music similarity and recommendation.
Tonic, which acts as the reference tuning pitch for the melody, is another fundamental concept in many music traditions. Its automatic identification is relevant for establishing the reference pitch, when we analyse the melodic content of the music.
- Şentürk, S., and Ferraro, A. tomato – Turkish-Ottoman Makam (M)usic Analysis TOolbox
- Karakurt, A., and Şentürk, S. morty – Python library for MOde Recognition and Tonic Identification
- Atlı, H. S., and Şentürk, S. tonicidentifier_makam – A lightweight automatic tonic identification algorithm for Turkish makam music recording
- Şentürk, S. (2016). Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music. PhD thesis, Universitat Pompeu Fabra, Barcelona, Spain.
- Chordia, P. and Şentürk, S. (2013). Joint Recognition of Raag and Tonic in North Indian Music. Computer Music Journal, 37(3):82–98.
- Şentürk, S., Koduri G. K., and Serra X. (2016). A Score-Informed Computational Description of Svaras Using a Statistical Model. In Proceedings of 13th Sound and Music Computing Conference (SMC 2016). pages 427-433, Hamburg, Germany
- Karakurt, A., Şentürk S., and Serra X. (2016). MORTY: A Toolbox for Mode Recognition and Tonic Identification. In Proceedings of 3rd International Digital Libraries for Musicology Workshop (DLfM 2016). pages 9-16, New York, NY, USA
- Gulati, S., Serrà J., Ganguli K. K., Şentürk S., and Serra X. (2016). Time-Delayed Melody Surfaces for Rāga Recognition. In Proceedings of 17th International Society for Music Information Retrieval Conference (ISMIR 2016), pages 751-757, New York, NY, USA
- Gulati, S., Serrà J., Ishwar V., Şentürk S., and Serra X. (2016). Phrase-Based Rāga Recognition Using Vector Space Modeling. In Proceedings of 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), pages 66-70, Shanghai, China
- Atıcı, M., Bozkurt, B., Şentürk, S. (2015). A Culture-Specific Analysis Software for Makam Music Traditions. In Proceedings of 5th International Workshop on Folk Music Analysis, Paris, France.
- Atlı, H. S., Bozkurt, B., Şentürk, S. (2015). A Method for Tonic Frequency Identification of Turkish Makam Music Recordings. In Proceedings of 5th International Workshop on Folk Music Analysis, Paris, France.
- 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, Ankara, Turkey.
- 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.
- 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.
- CompMusic project, supported by European Union Seventh Framework Program (FP7/2007-2013), European Research Commission grant agreement 267583
- Modeling Musical Creativity, supported by National Science Foundation Award IIS-0855758
Invited Talks and Seminars
- Otomatik nota-icra eşleştirme (Audio-Score alignment), Istanbul Technical University State Conservatory, Ses teknolojisinde Türk Müziği’ne özgü tasarımlar (Culture specific approaches in music technology: Turkish music case), 11 June 2014