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cs.SD2026
From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music
Sangheon Park, Claire Arthur
Text-to-music (TTM) generation systems allow users to create music through natural language prompts, yet it is unclear whether the descriptive language used to prompt aligns with d…
cs.SD2026
Frame-Level Pansori Mode Classification with Complementary Audio Representations
Sangheon Park, Seonguk Ju, Suin Chung +2
Pansori is a traditional Korean vocal genre whose mode system (jo) is defined not by scale alone but by the entanglement of pitch collection, microtonal ornament (sigimsae), and vo…
cs.SD2026
Dance to Music Generation leveraging Pre-training with Unpaired data and Contrastive Alignment
Ryota Kimura, Sangheon Park, Natalia Polouliakh +1
Dance-to-music generation is a promising task for applications such as choreography support and automatic accompaniment, where temporal coordination between body movement and sound…