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ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi

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arxiv 2104.01384 v2 pith:ZVD6KRCV submitted 2021-04-03 eess.AS cs.CL

Yu Wang , Chee Siang Leow , Akio Kobayashi , Takehito Utsuro , Hiromitsu Nishizaki This is my paper
classification eess.AScs.CL
keywords exkaldi-rtrecognitionkaldionlinetoolkitautomaticpythonreal-time
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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