Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models. (arXiv:2206.14589v1 [cs.CL])

In Spoken Language Understanding (SLU) the task is to extract important
information from audio commands, like the intent of what a user wants the
system to do and special entities like locations or numbers. This paper
presents a simple method for embedding intents and entities into Finite State
Transducers, and, in combination with a pretrained general-purpose
Speech-to-Text model, allows building SLU-models without any additional
training. Building those models is very fast and only takes a few seconds. It
is also …

arxiv language speech speech-to-text spoken language understanding state text understanding