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eess.AS2023★ 2 cited
Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data
Junghyun Koo, Yunkee Chae, Chang-Bin Jeon +1
Music source separation (MSS) faces challenges due to the limited availability of correctly-labeled individual instrument tracks. With the push to acquire larger datasets to improv…
eess.AS2020★ 3 cited
Exploring Aligned Lyrics-Informed Singing Voice Separation
Chang-Bin Jeon, Hyeong-Seok Choi, Kyogu Lee
In this paper, we propose a method of utilizing aligned lyrics as additional information to improve the performance of singing voice separation. We have combined the highway networ…