  This paper describes the ExKaldi-RT online automatic speech recognition (ASR)
toolkit that is implemented based on the Kaldi ASR toolkit and Python language.
ExKaldi-RT provides tools for building online recognition pipelines. While
similar tools are available built on Kaldi, a key feature of ExKaldi-RT that it
works on Python, which has an easy-to-use interface that allows online ASR
system developers to develop original research, such as by applying neural
network-based signal processing and by decoding model trained with deep
learning frameworks. We performed benchmark experiments on the minimum
LibriSpeech corpus, and it showed that ExKaldi-RT could achieve competitive ASR
performance in real-time recognition.
