This platform is a large-scale music data sharing platform specially used for Computational Musicology research in China, including 3 music databases: Chinese Traditional Instrument Sound Database (CTIS), Midi-wav Bi-directional Database of Pop Music and Multi-functional Music Database for MIR Research (CCMusic). The three databases are partially free for computational musicology researchers. For the contents contained in the database, we will provide audio files recorded by the professional team of the conservatory of music, as well as corresponding labelled files, which have no commodity copyright problem and facilitate large-scale promotion. We hope that this music data sharing platform can meet the one-stop data needs of users and contribute to the research in the field of Computational Musicology.

CTIS

Chinese Traditional Instrument Sound Database

Chinese Traditional Instrument Sound Database is developed by Prof. Han Baoqiang's team for many years, which collects sound information about Chinese traditional musical instruments. The database includes 287 Chinese national musical instruments, including traditional musical instruments, improved musical instruments and ethnic minority musical instruments.

CCMusic

Multi-functional Music Database for MIR Research

This database collects sound materials of pop music, folk music and hundreds of national musical instruments, and makes comprehensive annotation to form a multi-purpose music database for MIR researchers.

M-W/BDoPM

Midi-wav Bi-directional Database of Pop Music

This database contains hundreds of Chinese pop songs, and each song contains the corresponding midi-audio-lyric information.

Note: Since this database involves a copyright agreement with a music company, it is only available to the university that signed the agreement, and will be opened in succession.

CSMTD

China Sound and Music Technology Database

This database collects sound materials of pop music, folk music and hundreds of national musical instruments, and makes comprehensive annotation to form a multi-purpose music database for MIR researchers.