5 papers
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…
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…
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…
NeoLightning: A Modern Reimagination of Gesture-Based Sound Design
Yonghyun Kim, Sangheon Park, Marcus Parker +2
This paper introduces NeoLightning, a modern reinterpretation of the Buchla Lightning. NeoLightning preserves the innovative spirit of Don Buchla's "Buchla Lightning" (introduced i…
Towards Computational Analysis of Pansori Singing
Sangheon Park, Danbinaerin Han, Dasaem Jeong
Pansori is one of the most representative vocal genres of Korean traditional music, which has an elaborated vocal melody line with strong vibrato. Although the music is transmitted…