Jingju a cappella singing dataset part1

<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> <ol> <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> </ol> <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> </ol> <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>