most citedYou Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

36 citations · 36 across the 1 of their papers we have counts for

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eess.AS2020★ 36 cited

You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

Aleksandr Laptev, Roman Korostik, Aleksey Svischev +3

Data augmentation is one of the most effective ways to make end-to-end automatic speech recognition (ASR) perform close to the conventional hybrid approach, especially when dealing…