1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SD2026
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…
cs.SD2023★ 1 cited
Combinatorial music generation model with song structure graph analysis
Seonghyeon Go, Kyogu Lee
In this work, we propose a symbolic music generation model with the song structure graph analysis network. We construct a graph that uses information such as note sequence and inst…
cs.SD2022
Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio
Kyungsu Kim, Minju Park, Haesun Joung +4
As digital music production has become mainstream, the selection of appropriate virtual instruments plays a crucial role in determining the quality of music. To search the musical…