Jan Macek

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HMMs are the dominating technique used in speech recognition today since they perform well in overall phone recognition. In this paper, we show the comparison of HMM methods and machine learning techniques, such as neural networks, decision trees and ensemble classifiers with boosting and bagging in the task of articulatory-acoustic feature classification.(More)
In the framework of the 5 th EU-FWP project ECORA the capabilities of CFD software packages for simulating flows in the containment of nuclear reactors was evaluated. Four codes were assessed using two basic tests in the PANDA facility addressing the transport of gases in a multi-compartment geometry. The assessment included a first attempt to use Best(More)
Generally speech recognition systems make use of acoustic features as a representation of speech for further processing. These acoustic features are usually based on human auditory perception or signal processing. More recently, Articulatory Feature (AF) based speech representations have been investigated by a number of speech technology researchers.(More)
Generally speech recognition systems make use of acoustic features as a representation of speech for further processing. These acoustic features are usually based on human auditory perception or signal processing. More recently , Articulatory Feature (AF) based speech representations have been investigated by a number of speech technology researchers.(More)
This paper presents simulations of the convective boiling flow performed with NEPTUNE_CFD and FLUENT codes. The DEBORA experiments carried out at CEA Grenoble were used as an experimental data set. In these experiments, freon R12 flows upwards inside a vertical pipe. Radial profiles of the flow variables are measured at the end of the heated section. Seven(More)
A typical speech recognition system uses acoustic features to represent speech for its processing. Recently, articulatory features were introduced to serve the same purpose. They are motivated by linguistic knowledge and may therefore provide better or complementary representation of speech signal. We present research on recognition of such articulatory(More)
Accurate dialog state tracking is crucial for the design of an efficient spoken dialog system. Until recently, quantitative comparison of different state tracking methods was difficult. However the 2013 Dialog State Tracking Challenge (DSTC) introduced a common dataset and metrics that allow to evaluate the performance of trackers on a standardized task. In(More)
Gravel-sand river terraces were nearly eliminated from central European landscape by river channelization. Monotypic stands of common reed (Phragmites australis) growing on such terraces are often stressed by drought, which makes them vulnerable to Lipara spp. (Diptera: Chloropidae) gallmakers. Although Lipara are considered ecosystem engineers, only(More)