Jingju a cappella singing syllable boundary and duration annotation dataset
Creators
- 1. Music Technology Group - Universitat Pompeu Fabra
Description
This dataset is a collection of syllable boundary annotations and syllable duration annotations of a cappella singing performed by jingju (京剧, Beijing opera) professional and amateur singers. This dataset was used as the experimental dataset in the following work:
Rong Gong, Nicolas Obin, Georgi Dzhambazov and Xavier Serra, “Score-Informed syllable segmentation for jingju a cappella singing voice with Mel-frequency intensity profiles," in Folk Music Analysis workshop (FMA) 2017, Málaga, Spain
Audio Content
The audio files are the a cappella singing arias recordings, which are stereo or mono, sampled at 44.1 kHz, and stored as wav files. They can be found at this link http://doi.org/10.5281/zenodo.344932
The wav files are recorded by two institutes: those file names ending with ‘qm’ are recorded by C4DM Queen Mary University of London; others file names ending with ‘upf’ or ‘lon’ are recorded by MTG-UPF. If you use the dataset in your work, please cite the following publication.
D. A. A. Black, M. Li, and M. Tian, “Automatic Identification of Emotional Cues in Chinese Opera Singing,” in 13th Int. Conf. on Music Perception and Cognition (ICMPC-2014), 2014, pp. 250–255.
Annotations
The syllable boundary annotation is in Textgrid format (Praat). The annotation is done in both phrase-level and syllable-level. The syllable duration annotation is in cvs format. Please consult Readme text in both folders for further details. The parsing code of the annotation files is provided in ‘pycode’ folder.
Availability of the Dataset
The annotations and codes in this dataset are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Contact
If you have any questions or comments about the dataset, please feel free to write to us.
Rong Gong: rong<dot>gong<at>upf<dot>edu
Rafael Caro Repetto: rafael<dot>caro<at>upf<dot>edu
Files
Jingju_a_cappella_singing_syllable_boundary_and_duration_annotation.zip
Files
(1.4 MB)
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Additional details
Related works
- Has part
- 10.5281/zenodo.344932 (DOI)
Funding
References
- Rong Gong, Nicolas Obin, Georgi Dzhambazov and Xavier Serra, Score-Informed syllable segmentation for jingju a cappella singing voice with Mel-frequency intensity profiles, in Folk Music Analysis workshop (FMA) 2017, Málaga, Spain
- D. A. A. Black, M. Li, and M. Tian, Automatic Identification of Emotional Cues in Chinese Opera Singing, in 13th Int. Conf. on Music Perception and Cognition (ICMPC-2014), 2014, pp. 250–255.