4 papers
Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations
Danbinaerin Han, Wonil Kim, Seah Hong +5
We present Gugak-VocalSet, the first publicly available audio dataset for Korean traditional singing with dense annotations of sigimsae, a structured pitch contour system of vocal…
VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing
Hayeon Bang, Hounsu Kim, Wonil Kim +1
Recent audio-language models are increasingly evaluated on recognizing, describing, and reasoning about audio, but expert-facing applications require a different capability: produc…
From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era
Wonil Kim, Hyeongseok Wi, Seungsoon Park +12
Generative AI is reshaping music creation, but its rapid growth exposes structural gaps in attribution, rights management, and economic models. Unlike past media shifts, from live…
PocketVAE: A Two-step Model for Groove Generation and Control
Kyungyun Lee, Wonil Kim, Juhan Nam
Creating a good drum track to imitate a skilled performer in digital audio workstations (DAWs) can be a time-consuming process, especially for those unfamiliar with drums. In this…