This is the 2nd version of the dataset, the folder structure has been changed. The Laosheng folder has been put directly in wav or textgrid paths. Description: This dataset is a collection of boundary annotations of a cappella singing performed by Beijing Opera (Jingju, 京剧) professional and amateur singers. The boundaries have been annotated in Praat TextGrid format and in a hierarchical way: Line (phrase), syllable, phoneme singing units 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. Please contact the authors to obtain these 15 recordings. If you use this audio dataset in your work, please cite as well 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 details 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’ are 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