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Correction Of Automatic Speech Recognition With Transformer Sequence-To-Sequence Model

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IEEE ICASSP 2020 Virtual Conference May 2020

In this work, we introduce a simple yet efficient post-processing model for automatic speech recognition. Our model has Transformer-based encoder-decoder architecture which "translates" acoustic model output into grammatically and semantically correct tex

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Correction Of Automatic Speech Recognition With Transformer Sequence-To-Sequence Model

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In this work, we introduce a simple yet efficient post-processing model for automatic speech recognition. Our model has Transformer-based encoder-decoder architecture which "translates" acoustic model output into grammatically and semantically correct tex