Dataset Open Access

Turkish Makam Acapella Sections Dataset

Dzhambazov, G.; Şentürk S; Serra X.

Turkish makam  acapella sections dataset is sung by professional singers and is a collection of recordings  of compositions from the vocal form şarkı. They are selected to be the same as the recordings in version two of http://compmusic.upf.edu/turkish-sarki

The main intention is to provide acapella counterpart to polyphonic recordings.  

THE DATASET

Audio music content

The collection has annotations with section, lyrics phrases and lyrics words. Each section, lyrics word and  lyrical phrase is aligned to its corresponding segment in the audio. Annotations of secitons (aranağme, zemin etc.) are taken from https://github.com/MTG/turkish_makam_section_dataset

FORMAT: All annotations in TextGrid (used in Praat)

turkish-makam-acapella-sections-dataset-2.0.zip  is organised by artist and makam_acapella-master_1.0.zip  is organised by musicbrainz ID.

Using this dataset

Please cite one of the following publications  if you use the dataset in your work:

Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.

Or

Dzhambazov, G., Şentürk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference

We are interested in knowing if you find our datasets useful! If you use our dataset please email us at mtg-info@upf.edu and tell us about your research.

Contact

If you have any questions or comments about the dataset, please feel free to write to us.

Georgi Dzhambazov
Music Technology Group,
Universitat Pompeu Fabra,
Barcelona, Spain
georgi <dot> dzhambazov <at> upf <dot>edu

 

http://compmusic.upf.edu/turkish-makam-acapella-sections-dataset

Files (598.6 MB)
Name Size
makam_acapella-master_1.0.zip
md5:d3fd28620749e4d8da37ebdf5ee1f8e0
305.8 MB Download
turkish-makam-acapella-sections-dataset-2.0.zip
md5:d2dd83021b750ef67d49f638d1778021
292.7 MB Download
  • Dzhambazov, G., & Serra X. (2015). Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.

  • Dzhambazov, G., Şentürk S., & Serra X. (2015). Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference

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