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Layer-Normalized Lstm For Hybrid-Hmm And End-To-End Asr

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IEEE ICASSP 2020 Virtual Conference May 2020

Training deep neural networks is often challenging in terms of training stability. It often requires careful hyperparameter tuning or a pretraining scheme to converge. Layer normalization (LN) has shown to be a crucial ingredient in training deep encoder-

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Layer-Normalized Lstm For Hybrid-Hmm And End-To-End Asr

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Training deep neural networks is often challenging in terms of training stability. It often requires careful hyperparameter tuning or a pretraining scheme to converge. Layer normalization (LN) has shown to be a crucial ingredient in training deep encoder-