Dataset Open Access
Jingju a cappella singing dataset part1
Rong Gong;
Rafael Caro Repetto;
Yile Yang;
Xavier Serra
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<subfield code="a"><p>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&nbsp;folder.</p>
<p><strong>Description:</strong></p>
<p>This dataset is a collection of boundary annotations of a cappella singing performed by Beijing Opera (Jingju, 京剧) professional and amateur singers.&nbsp;</p>
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<li>wav.zip: audio files in .wav format, mono or stereo.</li>
<li>wav_mono.zip: audio files in .wav&nbsp;format, mono</li>
<li>pycode.zip: util code for parsing the .textgrid annotation</li>
<li>catalogue*.csv: recording metadata, source separation recordings are not included.</li>
<li>textgrid.zip: phrase, syllable and phoneme annotation in Praat .textgrid format</li>
<li>annotation_txt.zip: phrase, syllable and phoneme time boundaries (second) and labels in .txt format
<ol>
<li>*phrase_char: phrase-level time boundaries, labeled in Mandarin characters</li>
<li>*phrase:&nbsp;phrase-level time boundaries, labeled in Mandarin pinyin</li>
<li>*syllable: syllable-level time boundaries,&nbsp;labeled in Mandarin pinyin</li>
<li>*phoneme: phoneme-level time boundaries, labeled in X-SAMPA</li>
</ol>
</li>
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<p>The boundaries (onset and offset) have been annotated in both <strong>Praat TextGrid (textgrid.zip)</strong> and .<strong>txt (annotation_txt.zip)</strong> format hierarchically:</p>
<ol>
<li>phrase (line),</li>
<li>syllable,</li>
<li>phoneme</li>
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<p>Singing units in pinyin and X-SAMPA have been annotated to a jingju&nbsp;a cappella singing audio dataset.</p>
<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.</p>
<p><strong>If you use this audio dataset in your work, please cite (1) this dataset as well (2) the following publication:</strong></p>
<blockquote>
<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>
</blockquote>
<p>&nbsp;</p>
<p><strong>Details:</strong><br>
Annotation format, units, parsing code and other information please refer to <a href="https://github.com/MTG/jingjuPhonemeAnnotation">https://github.com/MTG/jingjuPhonemeAnnotation</a></p>
<p><br>
<strong>License:</strong><br>
Textgrid annotations are licensed under Creative Commons Attribution-NonCommercial&nbsp;4.0 International License.</p>
<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>
<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="http://isophonics.org/SingingVoiceDataset">http://isophonics.org/SingingVoiceDataset</a></p>
<p><strong>Contact information:</strong></p>
<p>Rong Gong: rong&lt;dot&gt;gong&lt;at&gt;upf&lt;dot&gt;edu</p>
<p>Rafael Caro Repetto: rafael&lt;dot&gt;caro&lt;at&gt;upf&lt;dot&gt;edu</p></subfield>
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1,417
1,186
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 1,417 | 531 |
| Downloads | 1,186 | 494 |
| Data volume | 619.2 GB | 128.5 GB |
| Unique views | 1,160 | 473 |
| Unique downloads | 304 | 119 |
Indexed in
- Publication date:
- July 30, 2018
- DOI:
-
- Keyword(s):
- Beijing opera annotation phoneme syllable phrase singing voice praat textgrid wave audio jingju MTG C4DM a cappella
- Grants:
-
European Commission:
- COMPMUSIC - Computational models for the discovery of the world's music (267583)
- Communities:
- License (for files):
- Creative Commons Attribution Non Commercial 4.0 International