67 citations · 183 across the 27 of their papers we have counts for
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3 papers · 1 filter
eess.AS2020★ 1 cited
Multi-Accent Adaptation based on Gate Mechanism
Han Zhu, Li Wang, Pengyuan Zhang +1
When only a limited amount of accented speech data is available, to promote multi-accent speech recognition performance, the conventional approach is accent-specific adaptation, wh…
cs.SD2020★ 15 cited
A Model Compression Method with Matrix Product Operators for Speech Enhancement
Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu +2
The deep neural network (DNN) based speech enhancement approaches have achieved promising performance. However, the number of parameters involved in these methods is usually enormo…
eess.AS2020★ 3 cited
Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture
Haoran Miao, Gaofeng Cheng, Changfeng Gao +2
Recently, Transformer has gained success in automatic speech recognition (ASR) field. However, it is challenging to deploy a Transformer-based end-to-end (E2E) model for online spe…