297 citations · 601 across the 19 of their papers we have counts for
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cs.LG2016
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
Patrick Doetsch, Albert Zeyer, Paul Voigtlaender +3
In this work we release our extensible and easily configurable neural network training software. It provides a rich set of functional layers with a particular focus on efficient tr…
cs.NE2016★ 173 cited
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Albert Zeyer, Patrick Doetsch, Paul Voigtlaender +2
We present a comprehensive study of deep bidirectional long short-term memory (LSTM) recurrent neural network (RNN) based acoustic models for automatic speech recognition (ASR). We…