Philip John Gorinski

Improving End-to-End Speech-to-Intent Classification with Reptile

2020 · arXiv (Cornell University)

End-to-end spoken language understanding (SLU) systems have many advantages over conventional pipeline systems, but collecting in-domain speech data to train an end-to-end system is costly and time consuming. One question arises from this: how to …