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Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition

With the rapid development of speech assistants, adapting server-intended automatic speech recognition (ASR) solutions to a direct device has become crucial. For on-device speech recognition tasks, researchers and industry prefer end-to-end ASR systems as they can be made resource-efficient while ma...

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Glavni autori: Aleksandr Laptev, Andrei Andrusenko, Ivan Podluzhny, Anton Mitrofanov, Ivan Medennikov, Yuri Matveev
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2021-04-01
Serija:Sensors
Teme:
end-to-end speech recognition
low-resource
BPE-dropout
augmentation
out-of-vocabulary
transformer
Online pristup:https://www.mdpi.com/1424-8220/21/9/3063
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