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Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research
| Title | Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Conference Name | 4th International Digital Libraries for Musicology workshop (DLfM 2017) |
| Authors | Gong, R. , Caro Repetto R. , & Serra X. |
| Conference Start Date | 28/10/2017 |
| Conference Location | Shanghai, China |
| Abstract |
The data-driven computational research on automatic jingju (also known as Beijing or Peking opera) singing evaluation lacks a suitable and comprehensive a cappella singing audio dataset. In this work, we present an a cappella singing audio dataset which consists of 120 arias, accounting for 1265 melodic lines. This dataset is also an extension our existing CompMusic jingju corpus. Both professional and amateur singers were invited to the dataset recording sessions, and the most common jingju musical elements have been covered. This dataset is also accompanied by metadata per aria and melodic line annotated for automatic singing evaluation research purpose. All the gathered data is openly available online. |
| preprint/postprint document | http://arxiv.org/abs/1708.03986 |
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