7 citations · 23 across the 11 of their papers we have counts for
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eess.AS2018★ 1 cited
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures
Jan Vanek, Josef Michalek, Jan Zelinka +1
Recently, recurrent neural networks have become state-of-the-art in acoustic modeling for automatic speech recognition. The long short-term memory (LSTM) units are the most popular…
cs.CL2018
Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task
Jan Vanek, Josef Michalek, Josef Psutka
In this paper, we have investigated recurrent deep neural networks (DNNs) in combination with regularization techniques as dropout, zoneout, and regularization post-layer. As a ben…