2019
Component Fusion: Learning Replaceable Language Model Component for End-to-end Speech Recognition System
ICASSP 2019accepted
Recently, attention-based end-to-end automatic speech recognition system (ASR) has shown promising results. One of the limitations of an attention-based ASR system is that its language model (LM) component has to be implicitly learned from transcribed speech data which prevents one from uti-lizing p…