31 citations · 60 across the 7 of their papers we have counts for
7 papers
Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
Minseok Kim, Jun Hyung Lee, Soonyoung Jung
In this report, we present our award-winning solutions for the Music Demixing Track of Sound Demixing Challenge 2023. First, we propose TFC-TDF-UNet v3, a time-efficient music sour…
Learning source-aware representations of music in a discrete latent space
Jinsung Kim, Yeong-Seok Jeong, Woosung Choi +2
In recent years, neural network based methods have been proposed as a method that cangenerate representations from music, but they are not human readable and hardly analyzable ored…
KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
Minseok Kim, Woosung Choi, Jaehwa Chung +2
Recently, many methods based on deep learning have been proposed for music source separation. Some state-of-the-art methods have shown that stacking many layers with many skip conn…
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation
Yeong-Seok Jeong, Jinsung Kim, Woosung Choi +2
Conditioned source separations have attracted significant attention because of their flexibility, applicability and extensionality. Their performance was usually inferior to the ex…
AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries
Woosung Choi, Minseok Kim, Marco A. Martínez Ramírez +2
This paper proposes a neural network that performs audio transformations to user-specified sources (e.g., vocals) of a given audio track according to a given description while pres…
LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation
Woosung Choi, Minseok Kim, Jaehwa Chung +1
Recent deep-learning approaches have shown that Frequency Transformation (FT) blocks can significantly improve spectrogram-based single-source separation models by capturing freque…
Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation
Woosung Choi, Minseok Kim, Jaehwa Chung +2
Singing Voice Separation (SVS) tries to separate singing voice from a given mixed musical signal. Recently, many U-Net-based models have been proposed for the SVS task, but there w…