There is a newer version of this record available.

Dataset Open Access

Jingju a cappella singing dataset part1

Rong Gong; Rafael Caro Repetto; Yile Yang; Xavier Serra

Citation Style Language JSON Export

  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1243277", 
  "title": "Jingju a cappella singing dataset part1", 
  "issued": {
    "date-parts": [
  "abstract": "<p>This is the 3rd version of the dataset. The folder structure has been changed. The Laosheng folder has been put directly in wav or textgrid paths.</p>\n\n<p><strong>Description:</strong></p>\n\n<p>This dataset is a collection of boundary annotations of a cappella singing performed by Beijing Opera (Jingju, \u4eac\u5267) professional and amateur singers.&nbsp;</p>\n\n<p>The boundaries have been annotated in both <strong>Praat TextGrid (</strong> and <strong>txt (</strong> format hierarchically:</p>\n\n<ol>\n\t<li>Line (phrase),</li>\n\t<li>syllable,</li>\n\t<li>phoneme</li>\n</ol>\n\n<p>Singing units have been annotated to a jingju&nbsp;a cappella singing audio dataset.</p>\n\n<p>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 &lsquo;qm&rsquo; are recorded by C4DM, Queen Mary University of London; others file names ending with &lsquo;upf&rsquo; or &lsquo;lon&rsquo; 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.&nbsp;Please contact the authors to obtain these 15 recordings.</p>\n\n<p>If you use this audio dataset in your work, please cite as well the following publication:</p>\n\n<blockquote>\n<p>D. A. A. Black, M. Li, and M. Tian, &ldquo;Automatic Identification of Emotional Cues in Chinese Opera Singing,&rdquo; in 13th Int. Conf. on Music Perception and Cognition (ICMPC-2014), 2014, pp. 250&ndash;255.</p>\n</blockquote>\n\n<p>&nbsp;</p>\n\n<p><strong>Details:</strong><br>\nAnnotation format, units, parsing code and other information please refer to <a href=\"\"></a></p>\n\n<p><br>\n<strong>License:</strong><br>\nTextgrid annotations are licensed under Creative Commons Attribution-NonCommercial&nbsp;4.0 International License.</p>\n\n<p>Wav audio ending with &lsquo;upf&rsquo; or &lsquo;lon&rsquo; is licensed under&nbsp;Creative Commons Attribution-NonCommercial&nbsp;4.0 International.</p>\n\n<p>For the license of .wav audio ending with &lsquo;qm&rsquo; from C4DM Queen Mary University of London, please refer to this page <a href=\"\"></a></p>\n\n<p><strong>Contact information:</strong></p>\n\n<p>Rong Gong: rong&lt;dot&gt;gong&lt;at&gt;upf&lt;dot&gt;edu</p>\n\n<p>Rafael Caro Repetto: rafael&lt;dot&gt;caro&lt;at&gt;upf&lt;dot&gt;edu</p>", 
  "author": [
      "family": "Rong Gong"
      "family": "Rafael Caro Repetto"
      "family": "Yile Yang"
      "family": "Xavier Serra"
  "version": "3", 
  "type": "dataset", 
  "id": "1243277"
All versions This version
Views 1,20831
Downloads 1,10425
Data volume 595.3 GB1.7 GB
Unique views 1,01425
Unique downloads 2736


Cite as