Jingju a cappella singing syllable boundary and duration annotation dataset

This dataset is a collection of syllable boundary annotations and syllable duration annotations of a cappella singing performed by jingju (京剧, Beijing opera) professional and amateur singers. This dataset was used as the experimental dataset in the following work: Rong Gong, Nicolas Obin, Georgi Dzhambazov and Xavier Serra, “Score-Informed syllable segmentation for jingju a cappella singing voice with Mel-frequency intensity profiles," in Folk Music Analysis workshop (FMA) 2017, Málaga, Spain Audio Content The audio files are the a cappella singing arias recordings, which are stereo or mono, sampled at 44.1 kHz, and stored as wav files. They can be found at this link http://doi.org/10.5281/zenodo.344932 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. If you use the dataset in your work, please cite 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. Annotations The syllable boundary annotation is in Textgrid format (Praat). The annotation is done in both phrase-level and syllable-level. The syllable duration annotation is in cvs format. Please consult Readme text in both folders for further details. The parsing code of the annotation files is provided in ‘pycode’ folder. Availability of the Dataset The annotations and codes in this dataset are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Contact If you have any questions or comments about the dataset, please feel free to write to us. Rong Gong: rong<dot>gong<at>upf<dot>edu Rafael Caro Repetto: rafael<dot>caro<at>upf<dot>edu本数据集收录了由京剧（jingju）专业与业余演唱者演绎的无伴奏人声演唱的音节边界标注与音节时长标注。 本数据集曾作为以下研究的实验数据集使用：Rong Gong、Nicolas Obin、Georgi Dzhambazov与Xavier Serra发表于2017年西班牙马拉加民间音乐分析研讨会（FMA 2017）的论文《基于乐谱指导的京剧无伴奏人声音节分割：结合梅尔频率强度轮廓》。 音频内容：本数据集的音频文件为京剧无伴奏唱腔选段录音，包含单声道与双声道两种格式，采样率为44.1 kHz，存储格式为WAV文件，可通过以下链接获取：http://doi.org/10.5281/zenodo.344932。 该WAV音频文件由两家机构录制：文件名以"qm"结尾的文件由伦敦大学玛丽皇后学院C4DM实验室录制；文件名以"upf"或"lon"结尾的文件由MTG-UPF录制。 若您在研究中使用本数据集，请引用以下文献：D. A. A. Black、M. Li与M. Tian发表于2014年第13届音乐感知与认知国际会议（ICMPC-2014）的论文《中国戏曲演唱中的情感线索自动识别》，页码：250–255。 标注内容：音节边界标注采用Textgrid格式（Praat软件专属格式），标注覆盖乐句层级与音节层级两个维度；音节时长标注采用cvs格式。如需了解更多细节，请查阅两个文件夹内的README文档。标注文件的解析代码已在"pycode"文件夹中提供。 数据集可用性：本数据集的标注文件与代码采用知识共享署名-非商业性使用4.0国际许可协议（Creative Commons Attribution-NonCommercial 4.0 International License）进行授权。 联系方式：若您对本数据集有任何疑问或建议，请随时与我们联系。Rong Gong：rong<dot>gong<at>upf<dot>edu；Rafael Caro Repetto：rafael<dot>caro<at>upf<dot>edu