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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Predicting targets in Multiple Object Tracking task
 Citorík, Juraj ; Děchtěrenko, Filip (advisor) ; Brunetto, Robert (referee)
The aim of this thesis is to predict targets in a Multiple Object Tracking (MOT) task, in which subjects track multiple moving objects. We processed and analyzed data containing object and gaze position information from 1148 MOT trials completed by 20 subjects. We extracted multiple features from the raw data and designed a machine learning approach for the prediction of targets using neural networks and hidden Markov models. We assessed the performance of the models and features. The results of our experiments show that it is possible to train a machine learning model to predict targets with very high accuracy. 1
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Hlasové ovládání pro efektivní editaci textu
 Citorík, Juraj ; Lokoč, Jakub (advisor) ; Skopal, Tomáš (referee)
The aim of this thesis is to provide a comprehensive introduction to digital sound processing and speech recognition. Selected speech recognition features as well as algorithms are introduced and utilized in a voice controlled text editor and a .NET class library. The performance of the features is evaluated in both speaker-dependent and speaker-independent recognition of commands related to text editing. The library provides a straightforward way of implementing a speaker-dependent, domain-constrained voice recognition in an arbitrary application. It is used in a simple voice controlled text editor. The editor allows the user to assign voice commands to built-in actions. In this way, it is possible for inexperienced users to access and use advanced features of the program without having to learn complex workflows. Moreover, this approach is language-agnostic and can even be used by people with speech impairments as opposed to majority of presently used voice recognition systems. The results of the experiments indicate that, given a recording of sufficient quality, the presented features and algorithms provide an effective means to implement a speaker-dependent speech recognition system, which can be used in a voice controlled text editor. Powered by TCPDF (www.tcpdf.org)
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