91 citations · 255 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
Music Demixing Challenge 2021
Yuki Mitsufuji, Giorgio Fabbro, Stefan Uhlich +6
Music source separation has been intensively studied in the last decade and tremendous progress with the advent of deep learning could be observed. Evaluation campaigns such as MIR…
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…
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…