Before revision:  In this work , we propose a seemingly simple but effective technique to improve low-resource end-to-end ASR performance. We compress the output vocabulary of the end-to-end ASR  system using linguistically meaningful reductions and then reconstruct the original vocabulary using a standalone module.
After revision:  In this work , we propose a seemingly simple but effective technique to improve low-resource ASR system using linguistically meaningful reductions and then reconstruct the original vocabulary using a standalone module.