Jingju a cappella singing dataset part1

This is the 4th version of the dataset. The folder structure has been changed since the 2nd version, where the Laosheng folder has been moved directly into wav or textgrid folder.

Description:

This dataset is a collection of boundary annotations of a cappella singing performed by Beijing Opera (Jingju, 京剧) professional and amateur singers. 

1. wav.zip: audio files in .wav format, mono or stereo.
2. wav_mono.zip: audio files in .wav format, mono
3. pycode.zip: util code for parsing the .textgrid annotation
4. catalogue*.csv: recording metadata, source separation recordings are not included.
5. textgrid.zip: phrase, syllable and phoneme annotation in Praat .textgrid format
6. annotation_txt.zip: phrase, syllable and phoneme time boundaries (second) and labels in .txt format
   1. *phrase_char: phrase-level time boundaries, labeled in Mandarin characters
   2. *phrase: phrase-level time boundaries, labeled in Mandarin pinyin
   3. *syllable: syllable-level time boundaries, labeled in Mandarin pinyin
   4. *phoneme: phoneme-level time boundaries, labeled in X-SAMPA

The boundaries (onset and offset) have been annotated in both Praat TextGrid (textgrid.zip) and .txt (annotation_txt.zip) format hierarchically:

1. phrase (line),
2. syllable,
3. phoneme

Singing units in pinyin and X-SAMPA have been annotated to a jingju a cappella singing audio dataset.

The corresponding audio files are the a cappella singing arias recordings, which are stereo or mono, sampled at 44.1 kHz, and stored as .wav files. 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. Additionally, another collection of 15 clean singing recordings is included in this dataset. They are extracted from the commercial recordings which originally contains karaoke accompaniment and mixed versions.

If you use this audio dataset in your work, please cite (1) this dataset as well (2) 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.

Details:
Annotation format, units, parsing code and other information please refer to https://github.com/MTG/jingjuPhonemeAnnotation

License:
Textgrid annotations are licensed under Creative Commons Attribution-NonCommercial 4.0 International License.

Wav audio ending with ‘upf’ or ‘lon’ is licensed under Creative Commons Attribution-NonCommercial 4.0 International.

For the license of .wav audio ending with ‘qm’ from C4DM Queen Mary University of London, please refer to this page http://isophonics.org/SingingVoiceDataset

Contact information:

Rong Gong: rong<dot>gong<at>upf<dot>edu

Rafael Caro Repetto: rafael<dot>caro<at>upf<dot>edu