CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909550240595968 |
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| author | Zhou, Monan Xu, Shenyang Liu, Zhaorui Wang, Zhaowen Yu, Feng Li, Wei Han, Baoqiang |
| author_facet | Zhou, Monan Xu, Shenyang Liu, Zhaorui Wang, Zhaowen Yu, Feng Li, Wei Han, Baoqiang |
| contents | Data are crucial in various computer-related fields, including music information retrieval (MIR), an interdisciplinary area bridging computer science and music. This paper introduces CCMusic, an open and diverse database comprising multiple datasets specifically designed for tasks related to Chinese music, highlighting our focus on this culturally rich domain. The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready-to-use versions. We conduct benchmark evaluations for all datasets using a unified evaluation framework developed specifically for this purpose. This publicly available framework supports both classification and detection tasks, ensuring standardized and reproducible results across all datasets. The database is hosted on HuggingFace and ModelScope, two open and multifunctional data and model hosting platforms, ensuring ease of accessibility and usability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_18802 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research Zhou, Monan Xu, Shenyang Liu, Zhaorui Wang, Zhaowen Yu, Feng Li, Wei Han, Baoqiang Information Retrieval Sound Data are crucial in various computer-related fields, including music information retrieval (MIR), an interdisciplinary area bridging computer science and music. This paper introduces CCMusic, an open and diverse database comprising multiple datasets specifically designed for tasks related to Chinese music, highlighting our focus on this culturally rich domain. The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready-to-use versions. We conduct benchmark evaluations for all datasets using a unified evaluation framework developed specifically for this purpose. This publicly available framework supports both classification and detection tasks, ensuring standardized and reproducible results across all datasets. The database is hosted on HuggingFace and ModelScope, two open and multifunctional data and model hosting platforms, ensuring ease of accessibility and usability. |
| title | CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research |
| topic | Information Retrieval Sound |
| url | https://arxiv.org/abs/2503.18802 |