@InProceedings{senturk2011uzunHava_ismir,
  Title                    = {Modeling melodic improvisation in {T}urkish folk music using variable-length {M}arkov models},
  Author                   = {{\c{S}}ent{\"{u}}rk, Sertan and Chordia, Parag},
  Booktitle                = {Proceedings of 12th International Society for Music Information Retrieval Conference (ISMIR 2011)},
  Year                     = {2011},

  Address                  = {Miami, FL, USA},
  Pages                    = {269--274},

  Abstract                 = {The paper describes a new database, which currently consists of 64 songs encompassing approximately 6600 notes, and a system, which uses Variable-Length Markov Models (VLMM) to predict the melodies in the uzun hava (long tune) form, a melodic structure in Turkish folk music. The work shows VLMMs are highly predictive. This suggests that variable-length Markov models (VLMMs) may be applied to makam-based and non-metered musical forms, in addition to Western musical traditions [20]. To the best of our knowledge, the work presents the first symbolic, machine readable database and the first application of expressive modeling in Turkish folk music.},
  File                     = {:presentations/senturk2011uzunHava_ismir_poster.pdf:PDF;:publications/senturk2011uzunHava_ismir.pdf:PDF},
  Url                      = {http://sertansenturk.com/uploads/publications/senturk2011uzunHava_ismir.pdf}
}