13 citations · 20 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test
Eungbeom Kim, Yunkee Chae, Jaeheon Sim +1
Automatic speech recognition systems based on deep learning are mainly trained under empirical risk minimization (ERM). Since ERM utilizes the averaged performance on the data samp…
End-to-end Music Remastering System Using Self-supervised and Adversarial Training
Junghyun Koo, Seungryeol Paik, Kyogu Lee
Mastering is an essential step in music production, but it is also a challenging task that has to go through the hands of experienced audio engineers, where they adjust tone, space…