15 citations · 38 across the 7 of their papers we have counts for
Showing 2018 · cs.CLShow all
3 papers · 2 filters
cs.CL2018★ 5 cited
Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language
He Bai, Yu Zhou, Jiajun Zhang +3
To deploy a spoken language understanding (SLU) model to a new language, language transferring is desired to avoid the trouble of acquiring and labeling a new big SLU corpus. Trans…
cs.CL2018★ 14 cited
Training Augmentation with Adversarial Examples for Robust Speech Recognition
Sining Sun, Ching-Feng Yeh, Mari Ostendorf +2
This paper explores the use of adversarial examples in training speech recognition systems to increase robustness of deep neural network acoustic models. During training, the fast…
cs.CL2018★ 15 cited
Domain Adversarial Training for Accented Speech Recognition
Sining Sun, Ching-Feng Yeh, Mei-Yuh Hwang +2
In this paper, we propose a domain adversarial training (DAT) algorithm to alleviate the accented speech recognition problem. In order to reduce the mismatch between labeled source…