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Generative Adversarial Training Data Adaptation for Very Low-resource
  Automatic Speech Recognition
v1v2 (latest)

Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition

19 May 2020
Kohei Matsuura
Masato Mimura
S. Sakai
Tatsuya Kawahara
ArXiv (abs)PDFHTML

Papers citing "Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition"

2 / 2 papers shown
Semi-supervised transfer learning for language expansion of end-to-end
  speech recognition models to low-resource languages
Semi-supervised transfer learning for language expansion of end-to-end speech recognition models to low-resource languagesAutomatic Speech Recognition & Understanding (ASRU), 2021
Jiyeon Kim
Mehul Kumar
Dhananjaya N. Gowda
Abhinav Garg
Chanwoo Kim
143
9
0
19 Nov 2021
Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative
  Adversarial Networks
Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Md. Akmal Haidar
Mehdi Rezagholizadeh
382
9
0
10 Mar 2021
1
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