CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research

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 The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready‑to‑use versions.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.

Authors

Publication Details

Journal
Transactions of the International Society for Music Information Retrieval
Published
2025-01-01
DOI
https://doi.org/10.5334/tismir.194
Citations
4
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
5.94

Funders

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article

CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research

Baoqiang Han, Z. Z. Wang, Zhaorui Liu, Wei Li et al.
4 citations
Transactions of the International Society for Music Information Retrieval
Music and Audio Processing
5.94
article

CCMusic: An Open and Diverse Database for Chinese Music Information Retrieval Research

Baoqiang Han, Z. Z. Wang, Zhaorui Liu, Wei Li, Monan Zhou, Yu Feng, S. Xu
article en
4 citations

Abstract

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 The database integrates both published and unpublished datasets, with steps taken such as data cleaning, label refinement, and data structure unification to ensure data consistency and create ready‑to‑use versions.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.

Transactions of the International Society for Music Information RetrievalVol. 8(1)
National Natural Science Foundation of China, National Office for Philosophy and Social Sciences
Quality Education
Openalex Percentile: Top 4%
Music and Audio Processing
5.94
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