Adversarially Trained End-to-End Korean Singing Voice Synthesis System. - Juheon Lee; Hyeong-Seok Choi; Chang-Bin Jeon; Junghyun Koo; Kyogu Lee (INTERSPEECH, 2019)

Exploring Aligned Lyrics-informed Singing Voice Separation. - Chang-Bin Jeon; Hyeong-Seok Choi; Kyogu Lee (ISMIR, 2020)

Towards robust music source separation on loud commercial music. - Chang-Bin Jeon; Kyogu Lee (ISMIR, 2022)

Medleyvox: An Evaluation Dataset for Multiple Singing Voices Separation. - Chang-Bin Jeon; Hyeongi Moon; Keunwoo Choi; Ben Sangbae Chon; Kyogu Lee (ICASSP, 2023)

Self-Refining of Pseudo Labels for Music Source Separation With Noisy Labeled Data. - Junghyun Koo; Yunkee Chae; Chang-Bin Jeon; Kyogu Lee (ISMIR, 2023)

Music De-Limiter Networks Via Sample-Wise Gain Inversion. - Chang-Bin Jeon; Kyogu Lee (WASPAA, 2023)

Why Does Music Source Separation Benefit from Cacophony? - Chang-Bin Jeon; Gordon Wichern; François G. Germain; Jonathan Le Roux (ICASSP Workshops, 2024)