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Contrastive Semi-supervised Learning for ASR

Contrastive Semi-supervised Learning for ASR

9 March 2021
Alex Xiao
Christian Fuegen
Abdel-rahman Mohamed
ArXivPDFHTML

Papers citing "Contrastive Semi-supervised Learning for ASR"

20 / 20 papers shown
Title
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
221
5,767
0
20 Jun 2020
Improved Noisy Student Training for Automatic Speech Recognition
Improved Noisy Student Training for Automatic Speech Recognition
Daniel S. Park
Yu Zhang
Ye Jia
Wei Han
Chung-Cheng Chiu
Yue Liu
Yonghui Wu
Quoc V. Le
87
242
0
19 May 2020
Iterative Pseudo-Labeling for Speech Recognition
Iterative Pseudo-Labeling for Speech Recognition
Qiantong Xu
Tatiana Likhomanenko
Jacob Kahn
Awni Y. Hannun
Gabriel Synnaeve
R. Collobert
VLM
56
132
0
19 May 2020
Large scale weakly and semi-supervised learning for low-resource video
  ASR
Large scale weakly and semi-supervised learning for low-resource video ASR
Kritika Singh
Vimal Manohar
Alex Xiao
Sergey Edunov
Ross B. Girshick
Vitaliy Liptchinsky
Christian Fuegen
Yatharth Saraf
Geoffrey Zweig
Abdel-rahman Mohamed
53
9
0
16 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
139
4,520
0
23 Apr 2020
Deep Contextualized Acoustic Representations For Semi-Supervised Speech
  Recognition
Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
Shaoshi Ling
Yuzong Liu
Julian Salazar
Katrin Kirchhoff
SSL
56
139
0
03 Dec 2019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern
  Architectures
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve
Qiantong Xu
Jacob Kahn
Tatiana Likhomanenko
Edouard Grave
Vineel Pratap
Anuroop Sriram
Vitaliy Liptchinsky
R. Collobert
SSL
AI4TS
105
247
0
19 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
161
12,050
0
13 Nov 2019
Effectiveness of self-supervised pre-training for speech recognition
Effectiveness of self-supervised pre-training for speech recognition
Alexei Baevski
Michael Auli
Abdel-rahman Mohamed
SSL
69
147
0
10 Nov 2019
Mockingjay: Unsupervised Speech Representation Learning with Deep
  Bidirectional Transformer Encoders
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Andy T. Liu
Shu-Wen Yang
Po-Han Chi
Po-Chun Hsu
Hung-yi Lee
SSL
132
373
0
25 Oct 2019
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung
James R. Glass
SSL
52
174
0
23 Oct 2019
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
Yongqiang Wang
Abdel-rahman Mohamed
Duc Le
Chunxi Liu
Alex Xiao
...
Xiaohui Zhang
Frank Zhang
Christian Fuegen
Geoffrey Zweig
M. Seltzer
48
248
0
22 Oct 2019
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid
  Speech Recognition
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition
Duc Le
Xiaohui Zhang
Weiyi Zheng
C. Fügen
Geoffrey Zweig
M. Seltzer
60
63
0
02 Oct 2019
Self-Training for End-to-End Speech Recognition
Self-Training for End-to-End Speech Recognition
Jacob Kahn
Ann Lee
Awni Y. Hannun
SSL
58
235
0
19 Sep 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
159
3,451
0
18 Apr 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
280
10,253
0
10 Jul 2018
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
149
1,792
0
10 Oct 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
120
3,675
0
08 Jun 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
160
2,117
0
21 Dec 2013
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