Annotated jingju arias dataset
<p>The Annotated Jingju Arias Dataset is a collection of 34 jingju arias manually segmented in various levels using the software <a href="http://www.fon.hum.uva.nl/praat/">Praat v5.3.53</a>. The selected arias contain samples of the two main <em>shengqiang</em> in jingju, name <em>xipi</em> and <em>erhuang</em>, and the five main role types in terms of singing, namely, <em>dan</em>, <em>jing</em>, <em>laodan</em>, <em>laosheng</em> and <em>xiaosheng</em>.</p> <p>The dataset includes a Praat TextGrid file for each aria with the following tiers (all the annotations are in Chinese):</p> <ol> <li><strong>aria</strong>: name of the work (one segment for the whole aria)</li> <li><strong>MBID</strong>: MusicBrainz ID of the audioi recording (one segment for the whole aria)</li> <li><strong>artist</strong>: name of the singing performer (one segment for the whole aria)</li> <li><strong>school</strong>: related performing school (one segment for the whole aria)</li> <li><strong>role-type</strong>: role type of the singing character (one segment for the whole aria)</li> <li><strong><em>shengqiang</em></strong>: boundaries and label of the <em>shengqiang</em> performed in the aria (including accompaniment)</li> <li><strong><em>banshi</em></strong>: boundaries and label of the <em>banshi</em> performed in the aria (including accompaniment)</li> <li><strong>lyrics-lines</strong>: boundaries and annotation of each line of lyrics</li> <li><strong>lyrics-syllables</strong>: boundaries and annotation of each syllable</li> <li><strong>luogu</strong>: boundaries and label of each of the performed percussion patterns in the aria</li> </ol> <p>The <strong>ariasInfo.txt</strong> file contains a summary of the contents per aira of the whole dataset.</p> <p>A subset of this dataset comprising 20 arias has been used for the study of the relationship between linguistic tones and melody in the following papers:</p> <blockquote> <p>Shuo Zhang, Rafael Caro Repetto, and Xavier Serra (2014) “<a href="http://mtg.upf.edu/node/3018">Study of the Similarity between Linguistic Tones and Melodic Pitch Contours in Beijing Opera Singing</a>.” In <em>Proceedings of the 15</em><sup><em>th</em></sup><em> International Society for Music Information Retrieval Conference</em> (ISMIR 2014), Taipei, Taiwan, October 27–31, pp. 343–348.</p> </blockquote> <blockquote> <p>______ (2015) “<a href="http://mtg.upf.edu/node/3322">Predicting Pairwise Pitch Contour Relations Based on Linguistic Tone Information in Beijing Opera Singing</a>.” In <em>Proceedings of the 1</em><em>6</em><sup><em>th</em></sup><em> International Society for Music Information Retrieval Conference</em> (ISMIR 2015), Málaga, Spain, October 26–30, pp. 107–113.</p> </blockquote> <p><a href="http://compmusic.upf.edu/system/files/static_files/Tone-melody_subset.csv">Here</a> is the list of the arias from the dataset used in these papers.</p> <p>The whole dataset has been used for the automatic analysis of the structure of jingju arias and their automatic segmentation in the following master's thesis:</p> <blockquote> <p>Yile Yang (2016) <a href="http://mtg.upf.edu/node/3634"><em>Structure Analysis of Beijing Opera Arias</em></a>. Master’s thesis, Universitat Pompeu Fabra, Barcelona.</p> </blockquote> <p><strong>Using this dataset</strong></p> <p>If you use this dataset in a publication, please cite the above publications.</p> <p>We are interested in knowing if you find our datasets useful! If you use our dataset please email us at <a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a> and tell us about your research.</p> <p><strong>Contact</strong></p> <p>The audio recordings used for these annotations are available for research purposes. Please contact Rafael Caro Repetto</p> <p><a href="mailto:rafael.caro@upf.edu">rafael.caro@upf.edu</a></p> <p> </p> <p><a href="http://compmusic.upf.edu/node/349">http://compmusic.upf.edu/node/349</a></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 4