Turkish Makam Acapella Sections Dataset
Creators
- 1. Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain
- 2. Music Technology Group Universitat Pompeu Fabra, Barcelona, Spain
Description
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
makam_acapella-master_1.0.zip
Files
(598.6 MB)
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md5:d3fd28620749e4d8da37ebdf5ee1f8e0
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md5:d2dd83021b750ef67d49f638d1778021
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Additional details
References
- 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