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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Implementation of voice activity detectors using open-source libraries in C language
 Mach, Václav ; Špiřík, Jan (referee) ; Míča, Ivan (advisor)
This diploma thesis discusses the issue of Voice Activity Detection. There are two types of detectors described: energetic and statistics. Their funktionality is proved in the Matlab environment. Further, the implemetation of VADs is made through C language with standard libraries and GSL open-source libraries. The realized algorithms are compared in the scope of processing time of computation, memory management and a single mathematical operations stress. Also a comparism of the processing time according to segment length was made.
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Implementation of voice activity detectors using open-source libraries in C language
 Mach, Václav ; Špiřík, Jan (referee) ; Míča, Ivan (advisor)
This diploma thesis discusses the issue of Voice Activity Detection. There are two types of detectors described: energetic and statistics. Their funktionality is proved in the Matlab environment. Further, the implemetation of VADs is made through C language with standard libraries and GSL open-source libraries. The realized algorithms are compared in the scope of processing time of computation, memory management and a single mathematical operations stress. Also a comparism of the processing time according to segment length was made.
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The graphical data analysis in various statistical computing systems
 Maroušek, Vít ; Pecáková, Iva (advisor) ; Černý, Jindřich (referee)
Goal of my thesis is to show and compare various ways of graphical data analysis in statistical computing systems. This area is still developing, new techniques are being discovered and the already known are being developed. This work is split into three parts, one theoretical, one comparing and one general with new ideas. The first part is theoretical and is dedicated to classification of statistical variables. For statistical computing systems I offer a simplified classification because of the way they treat some types of variables. Second part of my work compares graphical outputs of three most used statistical computing systems SAS, SPSS and STATISTICA. This comparison is based on some of the most commonly used graphical methods. The outputs are tables with detailed description and examples of graphs from each system are attached. The last part is focused on the general graphical data exploration and follows the simplified classification of variables. In this part I use common graphical techniques and introduce some new or fewer used techniques. Many of them haven't been described in any Czech literature yet. Almost all the graphs presented in this work were created by me in various statistical computing systems. Two were copied from literature because of serious problems with the process of their creation.
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