63 citations · 74 across the 20 of their papers we have counts for
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eess.AS2021
Danna-Sep: Unite to separate them all
Chin-Yun Yu, Kin-Wai Cheuk
Deep learning-based music source separation has gained a lot of interest in the last decades. Most of the existing methods operate with either spectrograms or waveforms. Spectrogra…
eess.AS2021★ 63 cited
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…