Sangeun Kum

According to our database, Sangeun Kum authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

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

Semi-supervised learning using teacher-student models for vocal melody extraction.

Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam

CoRR, 2020

Semi-supervised learning using teacher-student models for vocal melody extraction.

Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2018

A Hybrid of Deep Audio Feature and i-vector for Artist Recognition.

Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam

CoRR, 2018

2017

Combining Multi-Scale Features Using Sample-Level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection.

Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks.

Sangeun Kum, Changheun Oh, Juhan Nam

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016