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pro vyhledávání: '"Michálek, Josef"'
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 ones. However, alternative units like gated recurrent unit (GRU) and
Externí odkaz:
http://arxiv.org/abs/1807.06441
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 benchmark, we chose the TIMIT phone recognition task due to its popularit
Externí odkaz:
http://arxiv.org/abs/1806.07186
Autor:
Michalek, Josef, Vanek, Jan
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 and broad availability in the community. It also simulates a low-resourc
Externí odkaz:
http://arxiv.org/abs/1806.07974
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 kernel functions. We had searched for all available GPU accelerated C+
Externí odkaz:
http://arxiv.org/abs/1707.06470