Computer Science & Music
Computer Science Department
Carnegie Mellon University
Hi, I am a third-year Ph.D. student from Computer Science Department, Carnegie Melon University, advised by Prof. Roger Dannenberg. My research lies in the interection of Computer Music, Machine Learning and Human Computer Interaction, including projects in automatic music generation, music style transfer, music understanding, expressive performance control, human-computer interactive music performance, music technology in music therapy, and Chinese music technology. Before joining CMU, I received my B.S. in Computer Science from Peking University in China in July 2018.
I am also a professional Pipa (Chinese traditional instrument) player with 19 years of performance experience, and a mezzo-soprano with 7-year formal training of Western opera singing. During my bachelor study, I served in PKU Chinese Music Institute (CMI), PKU Musical Club, and Chorus of PKU Hall.
Shuqi Dai, Huan Zhang, Roger B. Dannenberg. "Automatic Analysis and Influence of Hierarchical Structure on Melody, Rhythm and Harmony in Popular Music". In Proceedings of the 2020 Joint Conference on AI Music Creativity and International Workshop on Music Metacreation (CSMC+MUME), Stockholm, Sweden, Oct 2020. [paper]
Z.Wang, K. Chen, J. Jiang, Y. Zhang, M. Xu, Shuqi Dai, X. Gu, G. Xia. "Pop909: A Pop-song Dataset for Music Arrangement Generation". In Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), Montéal, Canada, 2020. [paper]
Gus G. Xia, Shuqi Dai. "Music Style Transfer Issues: A Position Paper". In Proceedings of 6th International Workshop on Music Metacreation (MUME), Salamanca, Spain, June 2018. [paper]
Shuqi Dai, Gus G. Xia. "Computational Models For Common Pipa Techniques", best student paper, the 5th National Conference on Sound and Music Technology, Oct 2017.