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MARBLE: Music Audio Representation Benchmark for Universal Evaluation

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

18 June 2023
Ruibin Yuan
Yi Ma
Yizhi Li
Ge Zhang
Xingran Chen
Hanzhi Yin
Le Zhuo
Yiqi Liu
Jiawen Huang
Zeyue Tian
Binyue Deng
Ningzhi Wang
Chenghua Lin
Emmanouil Benetos
Anton Ragni
Norbert Gyenge
Roger Dannenberg
Wenhu Chen
Gus Xia
Wei Xue
Si Liu
Shi Wang
Ruibo Liu
Yi-Ting Guo
Jie Fu
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Papers citing "MARBLE: Music Audio Representation Benchmark for Universal Evaluation"

4 / 4 papers shown
Title
Supervised and Unsupervised Learning of Audio Representations for Music
  Understanding
Supervised and Unsupervised Learning of Audio Representations for Music Understanding
Matthew C. McCallum
Filip Korzeniowski
Sergio Oramas
F. Gouyon
Andreas F. Ehmann
SSL
46
30
0
07 Oct 2022
Transfer Learning with Jukebox for Music Source Separation
Transfer Learning with Jukebox for Music Source Separation
W. Z. E. Amri
Oliver Tautz
Helge J. Ritter
Andrew Melnik
41
7
0
28 Nov 2021
Codified audio language modeling learns useful representations for music
  information retrieval
Codified audio language modeling learns useful representations for music information retrieval
Rodrigo Castellon
Chris Donahue
Percy Liang
49
65
0
12 Jul 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
283
6,003
0
20 Apr 2018
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