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Contrastive-mixup learning for improved speaker verification

Contrastive-mixup learning for improved speaker verification

22 February 2022
Xin Zhang
Minho Jin
R. Cheng
Ruirui Li
Eunjung Han
A. Stolcke
    AAMLSSL
ArXiv (abs)PDFHTML

Papers citing "Contrastive-mixup learning for improved speaker verification"

21 / 21 papers shown
Title
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
106
826
0
07 May 2021
How Does Mixup Help With Robustness and Generalization?
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
Amirata Ghorbani
James Zou
AAML
86
252
0
09 Oct 2020
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge
  2020
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020
Hee-Soo Heo
Bong-Jin Lee
Jaesung Huh
Joon Son Chung
47
134
0
29 Sep 2020
On the Generalization Effects of Linear Transformations in Data
  Augmentation
On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu
Hongyang R. Zhang
Gregory Valiant
Christopher Ré
69
77
0
02 May 2020
In defence of metric learning for speaker recognition
In defence of metric learning for speaker recognition
Joon Son Chung
Jaesung Huh
Seongkyu Mun
Minjae Lee
Hee-Soo Heo
Soyeon Choe
Chiheon Ham
Sung-Ye Jung
Bong-Jin Lee
Icksang Han
67
437
0
26 Mar 2020
On Mixup Training: Improved Calibration and Predictive Uncertainty for
  Deep Neural Networks
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
S. Thulasidasan
Gopinath Chennupati
J. Bilmes
Tanmoy Bhattacharya
S. Michalak
UQCV
68
545
0
27 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
622
4,802
0
13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
156
3,033
0
06 May 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech
  Recognition
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park
William Chan
Yu Zhang
Chung-Cheng Chiu
Barret Zoph
E. D. Cubuk
Quoc V. Le
VLM
177
3,469
0
18 Apr 2019
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
O. Donati
Anton S. Becker
E. Konukoglu
MedIm
90
143
0
11 Feb 2019
MixUp as Locally Linear Out-Of-Manifold Regularization
MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo
Yongyi Mao
Richong Zhang
62
324
0
07 Sep 2018
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
356
2,287
0
14 Jun 2018
Improved Mixed-Example Data Augmentation
Improved Mixed-Example Data Augmentation
Cecilia Summers
M. Dinneen
74
161
0
29 May 2018
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
82
2,793
0
13 Dec 2017
Generalized End-to-End Loss for Speaker Verification
Generalized End-to-End Loss for Speaker Verification
Li Wan
Quan Wang
Alan Papir
Ignacio López Moreno
VLM
68
933
0
28 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
289
9,803
0
25 Oct 2017
VoxCeleb: a large-scale speaker identification dataset
VoxCeleb: a large-scale speaker identification dataset
Arsha Nagrani
Joon Son Chung
Andrew Zisserman
127
2,282
0
26 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,150
0
15 Mar 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
MUSAN: A Music, Speech, and Noise Corpus
MUSAN: A Music, Speech, and Noise Corpus
David Snyder
Guoguo Chen
Daniel Povey
86
1,357
0
28 Oct 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
388
13,145
0
12 Mar 2015
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