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Improving Sequence-To-Sequence Speech Recognition Training With On-The-Fly Data Augmentation

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IEEE ICASSP 2020 Virtual Conference May 2020

Sequence-to-Sequence (S2S) models recently started to show state-of-the-art performance for automatic speech recognition (ASR). With these large and deep models overfitting remains the largest problem, outweighing performance improvements that can be obta

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Improving Sequence-To-Sequence Speech Recognition Training With On-The-Fly Data Augmentation

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Sequence-to-Sequence (S2S) models recently started to show state-of-the-art performance for automatic speech recognition (ASR). With these large and deep models overfitting remains the largest problem, outweighing performance improvements that can be obta