2020
Meta Learning for End-To-End Low-Resource Speech Recognition
ICASSP 2020accepted
In this paper, we proposed to apply meta learning approach for low-resource automatic speech recognition (ASR). We formulated ASR for different languages as different tasks, and meta-learned the initialization parameters from many pretraining languages to achieve fast adaptation on unseen target lan…