2018
Robust Spoken Language Understanding with Unsupervised ASR-Error Adaptation
ICASSP 2018accepted
Robustness to errors produced by automatic speech recognition (ASR) is essential for Spoken Language Understanding (SLU). Traditional robust SLU typically needs ASR hypotheses with semantic annotations for training. However, semantic annotation is very expensive, and the corresponding ASR system may…