1 citations · 1 across the 4 of their papers we have counts for
5 papers
Context Spanning: A Communication Framework for Full-Duplex Speech Models and External LLM Backends
Seonghyeon Go, Yongwoo Kim, Hyeonjin Cha +1
Full-duplex spoken dialogue models can listen and speak simultaneously like the real-time dynamics of human conversation. For natural dialogue, the ability to search for external i…
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…
Real-world Music Plagiarism Detection With Music Segment Transcription System
Seonghyeon Go
As a result of continuous advances in Music Information Retrieval (MIR) technology, generating and distributing music has become more diverse and accessible. In this context, inter…