ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
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Abstract (arXiv)
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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References · 6
- 2018Streaming End-to-end Speech Recognition For Mobile Devicescited by 234
- 2019Jasper: An End-to-End Convolutional Neural Acoustic Modelcited by 76
- 2019RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data Augmentationcited by 63
- 2018The PyTorch-Kaldi Speech Recognition Toolkitcited by 40
- 2020Low Latency End-to-End Streaming Speech Recognition with a Scout Networkcited by 20
- 2019PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorchcited by 5
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