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Improving Noisy Student Training on Non-target Domain Data for Automatic
  Speech Recognition

Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition

9 November 2022
Yu Chen
Wen Ding
Junjie Lai
ArXivPDFHTML

Papers citing "Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition"

6 / 6 papers shown
Title
Token-Weighted RNN-T for Learning from Flawed Data
Token-Weighted RNN-T for Learning from Flawed Data
Gil Keren
Wei Zhou
Ozlem Kalinli
43
0
0
26 Jun 2024
GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for
  Low-Resource Languages with Automated Crawling, Transcription and Refinement
GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement
Yifan Yang
Zheshu Song
Jianheng Zhuo
Mingyu Cui
Jinpeng Li
...
Shuai Fan
Kai Yu
Wei-Qiang Zhang
Guoguo Chen
Xie Chen
22
8
0
17 Jun 2024
On the Effects of Heterogeneous Data Sources on Speech-to-Text
  Foundation Models
On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models
Jinchuan Tian
Yifan Peng
William Chen
Kwanghee Choi
Karen Livescu
Shinji Watanabe
29
5
0
13 Jun 2024
Improving Streaming Automatic Speech Recognition With Non-Streaming
  Model Distillation On Unsupervised Data
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data
Thibault Doutre
Wei Han
Min Ma
Zhiyun Lu
Chung-Cheng Chiu
Ruoming Pang
A. Narayanan
Ananya Misra
Yu Zhang
Liangliang Cao
61
22
0
22 Oct 2020
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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