Contrastive Learning of Musical Representations. - Janne Spijkervet; John Ashley Burgoyne (ISMIR, 2021)

Music Classification: Beyond Supervised Learning, Towards Real-world Applications. - Minz Won; Janne Spijkervet; Keunwoo Choi (CoRR, 2021)

Measuring the Eurovision Song Contest: A Living Dataset for Real-World MIR. - John Ashley Burgoyne; Janne Spijkervet; David J. Baker (ISMIR, 2023)

STEMGEN: A Music Generation Model That Listens. - Julian D. Parker; Janne Spijkervet; Katerina Kosta; Furkan Yesiler; Boris Kuznetsov; Ju-Chiang Wang; Matt Avent; Jitong Chen; Duc Le (ICASSP, 2024)

SymPAC: Scalable Symbolic Music Generation With Prompts and Constraints. - Haonan Chen; Jordan B. L. Smith; Janne Spijkervet; Ju-Chiang Wang; Pei Zou; Bochen Li; Qiuqiang Kong; Xingjian Du (ISMIR, 2024)

Seed-Music: A Unified Framework for High Quality and Controlled Music Generation. - Ye Bai; Haonan Chen; Jitong Chen; Zhuo Chen 006; Yi Deng; Xiaohong Dong; Lamtharn Hantrakul; Weituo Hao; Qingqing Huang; Zhongyi Huang; Dongya Jia; Feihu La; et al. (CoRR, 2024)