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Towards Fast And Accurate Streaming End-To-End Asr

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IEEE ICASSP 2020 Virtual Conference May 2020
End-to-end (E2E) models fold the acoustic, pronunciation and language models of a conventional speech recognition model into one neural network with a much smaller number of parameters than a conventional ASR system, thus making it suitable for on-device
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Towards Fast And Accurate Streaming End-To-End Asr

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End-to-end (E2E) models fold the acoustic, pronunciation and language models of a conventional speech recognition model into one neural network with a much smaller number of parameters than a conventional ASR system, thus making it suitable for on-device