Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks. - Sangeun Kum; Changheun Oh; Juhan Nam (ISMIR, 2016)

Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection. - Jongpil Lee; Jiyoung Park 001; Sangeun Kum; Youngho Jeong; Juhan Nam (DCASE, 2017)

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. - Jiyoung Park 001; Donghyun Kim; Jongpil Lee; Sangeun Kum; Juhan Nam (CoRR, 2018)

Semi-supervised learning using teacher-student models for vocal melody extraction. - Sangeun Kum; Jing-Hua Lin; Li Su 004; Juhan Nam (ISMIR, 2020)

Semi-supervised learning using teacher-student models for vocal melody extraction. - Sangeun Kum; Jing-Hua Lin; Li Su 002; Juhan Nam (CoRR, 2020)

Semantic Tagging of Singing Voices in Popular Music Recordings. - Keunhyoung Luke Kim; Jongpil Lee; Sangeun Kum; Chae Lin Park; Juhan Nam (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Learning a cross-domain embedding space of vocal and mixed audio with a structure-preserving triplet loss. - Keunhyoung Luke Kim; Jongpil Lee; Sangeun Kum; Juhan Nam (ISMIR, 2021)

Pseudo-Label Transfer from Frame-Level to Note-Level in a Teacher-Student Framework for Singing Transcription from Polyphonic Music. - Sangeun Kum; Jongpil Lee; Keunhyoung Luke Kim; Taehyoung Kim; Juhan Nam (ICASSP, 2022)