7 citations · 9 across the 3 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2020
Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems
Xinwei Li, Yuanyuan Zhang, Xiaodan Zhuang +1
Inspired by SpecAugment -- a data augmentation method for end-to-end ASR systems, we propose a frame-level SpecAugment method (f-SpecAugment) to improve the performance of deep con…
cs.CL2020★ 7 cited
Class LM and word mapping for contextual biasing in End-to-End ASR
Rongqing Huang, Ossama Abdel-hamid, Xinwei Li +1
In recent years, all-neural, end-to-end (E2E) ASR systems gained rapid interest in the speech recognition community. They convert speech input to text units in a single trainable N…