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…