activity
20172019
most citedA Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

eess.AS2019

UWB-NTIS Speaker Diarization System for the DIHARD II 2019 Challenge

Zbyněk Zajíc, Marie Kunešová, Marek Hrúz +1

In this paper, we present our system developed by the team from the New Technologies for the Information Society (NTIS) research center of the University of West Bohemia in Pilsen,…

eess.AS2018

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

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…

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…

cs.DC20172 cited

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…