26 citations · 30 across the 3 of their papers we have counts for
3 papers
eess.AS2023★ 26 cited
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai +24
This paper summarizes the music demixing (MDX) track of the Sound Demixing Challenge (SDX'23). We provide a summary of the challenge setup and introduce the task of robust music so…
cs.SD2023★ 3 cited
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…
cs.CL2016★ 1 cited
Training IBM Watson using Automatically Generated Question-Answer Pairs
Jangho Lee, Gyuwan Kim, Jaeyoon Yoo +3
IBM Watson is a cognitive computing system capable of question answering in natural languages. It is believed that IBM Watson can understand large corpora and answer relevant quest…