4 papers
HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
Seonghyeon Go, Yumin Kim
As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple tra…
Music Plagiarism Detection: Problem Formulation and a Segment-based Solution
Seonghyeon Go, Yumin Kim
Recently, the problem of music plagiarism has emerged as an even more pressing social issue. As music information retrieval research advances, there is a growing effort to address…
Fusion Segment Transformer: Bi-Directional Attention Guided Fusion Network for AI-Generated Music Detection
Yumin Kim, Seonghyeon Go
With the rise of generative AI technology, anyone can now easily create and deploy AI-generated music, which has heightened the need for technical solutions to address copyright an…
Segment Transformer: AI-Generated Music Detection via Music Structural Analysis
Yumin Kim, Seonghyeon Go
Audio and music generation systems have been remarkably developed in the music information retrieval (MIR) research field. The advancement of these technologies raises copyright co…