Search Results for author: Roman Korostik

Found 2 papers, 0 papers with code

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

no code implementations14 May 2020 Aleksandr Laptev, Roman Korostik, Aleksey Svischev, Andrei Andrusenko, Ivan Medennikov, Sergey Rybin

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 with low-resource tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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