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SlimIPL: Language-Model-Free Iterative Pseudo-Labeling

SlimIPL: Language-Model-Free Iterative Pseudo-Labeling

22 October 2020
Tatiana Likhomanenko
Qiantong Xu
Jacob Kahn
Gabriel Synnaeve
R. Collobert
    VLM
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Papers citing "SlimIPL: Language-Model-Free Iterative Pseudo-Labeling"

16 / 16 papers shown
Title
Methods to Increase the Amount of Data for Speech Recognition for Low Resource Languages
Methods to Increase the Amount of Data for Speech Recognition for Low Resource Languages
Alexan Ayrapetyan
Sofia Kostandian
Ara Yeroyan
Mher Yerznkanyan
Nikolay Karpov
Nune Tadevosyan
Vitaly Lavrukhin
Boris Ginsburg
61
0
0
08 Jan 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
B. Wang
Y. Liu
48
0
0
03 Oct 2024
A Large-Scale Evaluation of Speech Foundation Models
A Large-Scale Evaluation of Speech Foundation Models
Shu-Wen Yang
Heng-Jui Chang
Zili Huang
Andy T. Liu
Cheng-I Jeff Lai
...
Kushal Lakhotia
Shang-Wen Li
Abdelrahman Mohamed
Shinji Watanabe
Hung-yi Lee
38
19
0
15 Apr 2024
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech
  Recognition
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition
Hanjing Zhu
Dongji Gao
Gaofeng Cheng
Daniel Povey
Pengyuan Zhang
Yonghong Yan
NoLa
30
4
0
12 Aug 2023
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Genshun Wan
Tan Liu
Hang Chen
Jia-Yu Pan
Cong Liu
Z. Ye
SSL
10
0
0
07 Dec 2022
Continuous Soft Pseudo-Labeling in ASR
Continuous Soft Pseudo-Labeling in ASR
Tatiana Likhomanenko
R. Collobert
Navdeep Jaitly
Samy Bengio
VLM
19
3
0
11 Nov 2022
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based
  on Self-supervised Pre-training
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training
Bowen Zhang
Songjun Cao
Xiaoming Zhang
Yike Zhang
Long Ma
T. Shinozaki
SSL
15
4
0
16 Jun 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
128
349
0
21 May 2022
A Complementary Joint Training Approach Using Unpaired Speech and Text
  for Low-Resource Automatic Speech Recognition
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition
Ye Du
Jie M. Zhang
Qiu-shi Zhu
Lirong Dai
Ming Wu
Xin Fang
Zhouwang Yang
24
2
0
05 Apr 2022
Continual self-training with bootstrapped remixing for speech
  enhancement
Continual self-training with bootstrapped remixing for speech enhancement
Efthymios Tzinis
Yossi Adi
V. Ithapu
Buye Xu
Anurag Kumar
18
16
0
19 Oct 2021
Word Order Does Not Matter For Speech Recognition
Word Order Does Not Matter For Speech Recognition
Vineel Pratap
Qiantong Xu
Tatiana Likhomanenko
Gabriel Synnaeve
R. Collobert
29
4
0
12 Oct 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
Large-Scale Self- and Semi-Supervised Learning for Speech Translation
Large-Scale Self- and Semi-Supervised Learning for Speech Translation
Changhan Wang
Anne Wu
J. Pino
Alexei Baevski
Michael Auli
Alexis Conneau
SSL
31
44
0
14 Apr 2021
Comparing the Benefit of Synthetic Training Data for Various Automatic
  Speech Recognition Architectures
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures
Nick Rossenbach
Mohammad Zeineldeen
Benedikt Hilmes
Ralf Schluter
Hermann Ney
23
12
0
12 Apr 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang
James Qin
Daniel S. Park
Wei Han
Chung-Cheng Chiu
Ruoming Pang
Quoc V. Le
Yonghui Wu
VLM
SSL
146
308
0
20 Oct 2020
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
269
0
30 Sep 2019
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