2 citations · 2 across the 1 of their papers we have counts for
4 papers
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…
A Survey of Recent DNN Architectures on the TIMIT Phone Recognition Task
Josef Michalek, Jan Vanek
In this survey paper, we have evaluated several recent deep neural network (DNN) architectures on a TIMIT phone recognition task. We chose the TIMIT corpus due to its popularity an…
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…
A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations
Jan Vanek, Josef Michalek, Josef Psutka
Last several years, GPUs are used to accelerate computations in many computer science domains. We focused on GPU accelerated Support Vector Machines (SVM) training with non-linear…