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Unsupervised Contrastive Learning of Sound Event Representations

Unsupervised Contrastive Learning of Sound Event Representations

15 November 2020
Eduardo Fonseca
Diego Ortego
Kevin McGuinness
Noel E. O'Connor
Xavier Serra
    SSL
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Papers citing "Unsupervised Contrastive Learning of Sound Event Representations"

13 / 13 papers shown
Title
Self-Supervised Learning for Few-Shot Bird Sound Classification
Self-Supervised Learning for Few-Shot Bird Sound Classification
Ilyass Moummad
Romain Serizel
Nicolas Farrugia
SSL
11
9
0
25 Dec 2023
Exploring Self-Supervised Contrastive Learning of Spatial Sound Event
  Representation
Exploring Self-Supervised Contrastive Learning of Spatial Sound Event Representation
Xilin Jiang
Cong Han
Yinghao Aaron Li
N. Mesgarani
SSL
8
1
0
27 Sep 2023
Pengi: An Audio Language Model for Audio Tasks
Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh
Benjamin Elizalde
Rita Singh
Huaming Wang
MLLM
AuLLM
30
155
0
19 May 2023
Looking Similar, Sounding Different: Leveraging Counterfactual
  Cross-Modal Pairs for Audiovisual Representation Learning
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
Nikhil Singh
Chih-Wei Wu
Iroro Orife
Mahdi M. Kalayeh
23
2
0
12 Apr 2023
Leveraging Neural Representations for Audio Manipulation
Leveraging Neural Representations for Audio Manipulation
Scott H. Hawley
C. Steinmetz
14
2
0
10 Apr 2023
Improving Self-Supervised Learning for Audio Representations by Feature
  Diversity and Decorrelation
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
SSL
26
3
0
07 Mar 2023
Self-supervised learning of audio representations using angular
  contrastive loss
Self-supervised learning of audio representations using angular contrastive loss
Shanshan Wang
S. Tripathy
A. Mesaros
SSL
13
4
0
10 Nov 2022
Masked Spectrogram Modeling using Masked Autoencoders for Learning
  General-purpose Audio Representation
Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
N. Harada
K. Kashino
11
65
0
26 Apr 2022
BYOL for Audio: Exploring Pre-trained General-purpose Audio
  Representations
BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
N. Harada
K. Kashino
SSL
23
53
0
15 Apr 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
22
106
0
02 Mar 2022
SpliceOut: A Simple and Efficient Audio Augmentation Method
SpliceOut: A Simple and Efficient Audio Augmentation Method
Arjit Jain
Pranay Reddy Samala
Deepak Mittal
P. Jyothi
M. Singh
16
10
0
30 Sep 2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio
  Representation
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
N. Harada
K. Kashino
SSL
6
175
0
11 Mar 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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