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Multi-Band Multi-Resolution Fully Convolutional Neural Networks for
  Singing Voice Separation

Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation

European Signal Processing Conference (EUSIPCO), 2019
21 October 2019
Emad M. Grais
Fei Zhao
Mark D. Plumbley
ArXiv (abs)PDFHTML

Papers citing "Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation"

3 / 3 papers shown
The first Cadenza challenges: using machine learning competitions to
  improve music for listeners with a hearing loss
The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing lossIEEE Open Journal of Signal Processing (JOSP), 2024
Gerardo Roa Dabike
Michael A. Akeroyd
Scott Bannister
Jon P. Barker
Trevor J. Cox
...
Jennifer Firth
S. Graetzer
Alinka Greasley
Rebecca R. Vos
W. Whitmer
269
5
0
08 Sep 2024
Hybrid Y-Net Architecture for Singing Voice Separation
Hybrid Y-Net Architecture for Singing Voice SeparationEuropean Signal Processing Conference (EUSIPCO), 2023
Rashen Fernando
Pamudu Ranasinghe
Udula Ranasinghe
J. Wijayakulasooriya
Pantaleon Perera
115
2
0
05 Mar 2023
Music demixing with the sliCQ transform
Music demixing with the sliCQ transform
Sevag Hanssian
233
0
0
09 Dec 2021
1
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