3 papers
cs.SD2026
Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
Yan Han, Zhibin Wen, Yuan Wang +4
The rapid advancement of AI music generators highlights the urgent need for reliable Synthetic Song Detection (SSD). Existing SSD methods often rely on low-level artifacts or fixed…
cs.SD2025
BeatFM: Improving Beat Tracking with Pre-trained Music Foundation Model
Ganghui Ru, Jieying Wang, Jiahao Zhao +5
Beat tracking is a widely researched topic in music information retrieval. However, current beat tracking methods face challenges due to the scarcity of labeled data, which limits…
cs.SD2025
HingeNet: A Harmonic-Aware Fine-Tuning Approach for Beat Tracking
Ganghui Ru, Jieying Wang, Jiahao Zhao +5
Fine-tuning pre-trained foundation models has made significant progress in music information retrieval. However, applying these models to beat tracking tasks remains unexplored as…