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Published July 1, 2014 | Version 2.0
Dataset Open

Turkish şarkı vocal dataset

  • 1. Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain

Description

Turkish şarkı vocal dataset is a collection of recordings of compositions from the vocal form şarkı. The recordings are selected from a musicBrainz collection of Turkish music http://musicbrainz.org/collection/544f7aec-dba6-440c-943f-103cf344efbb  

The collection has annotations of lyrics. Each lyrical phrase is aligned to its corresponding segment in the audio. 

THE DATASET

Audio music content

version 2

It is a modification with some added and some omitted recordings of Version 1 and features 12 performances of 11 different compositions. 8 sung by female and 4 by male.

Lyrical phrases annotations

The audio is segmented into one-section chunks (a section is nakarat, meyan etc.)

Each audio segment is aligned to the lyrical phrases.  A phrase corresponds roughly to a musical bar and contains 1 or 2 words. 

An annotation file is in .TextGrid format of Praat.

Using this dataset

Please cite the following publication for  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. 

http://hdl.handle.net/10230/27614

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

RELASE LINK

https://github.com/georgid/turkish-makam-lyrics-2-audio-test-data-synthesis/releases/tag/2.0

 

http://compmusic.upf.edu/turkish-sarki

Files

turkish_sarki_vocal_v2.0.zip

Files (613.8 MB)

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Additional details

Related works

Cites
10230/27614 (Handle)

References

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