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MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music
  Audio Representation Learning

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning

5 December 2022
Yizhi Li
Ruibin Yuan
Ge Zhang
Yi Ma
Chenghua Lin
Xingran Chen
Anton Ragni
Hanzhi Yin
Zhijie Hu
Haoyu He
Emmanouil Benetos
Norbert Gyenge
Ruibo Liu
Jie Fu
    SSL
ArXivPDFHTML

Papers citing "MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning"

11 / 11 papers shown
Title
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
Shuyu Li
Shulei Ji
Zihao Wang
Songruoyao Wu
Jiaxing Yu
Kai Zhang
MGen
VGen
114
1
0
01 Apr 2025
Learning Music Representations with wav2vec 2.0
Learning Music Representations with wav2vec 2.0
Alessandro Ragano
Emmanouil Benetos
Andrew Hines
41
9
0
27 Oct 2022
data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
SSL
VLM
ViT
68
845
0
07 Feb 2022
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
95
87
0
12 Jul 2021
Contrastive Learning of Musical Representations
Contrastive Learning of Musical Representations
Janne Spijkervet
J. Burgoyne
67
113
0
17 Mar 2021
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
71
5,677
0
20 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
225
6,718
0
13 Jun 2020
Jukebox: A Generative Model for Music
Jukebox: A Generative Model for Music
Prafulla Dhariwal
Heewoo Jun
Christine Payne
Jong Wook Kim
Alec Radford
Ilya Sutskever
VLM
80
731
0
30 Apr 2020
musicnn: Pre-trained convolutional neural networks for music audio
  tagging
musicnn: Pre-trained convolutional neural networks for music audio tagging
Jordi Pons
Xavier Serra
VLM
MGen
32
97
0
14 Sep 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLM
FaML
53
3,141
0
01 Apr 2019
Transfer learning for music classification and regression tasks
Transfer learning for music classification and regression tasks
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
55
229
0
27 Mar 2017
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