National Repository of Grey Literature 416 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Network Game: Destroy the Submarine
Jašek, Petr ; Mlích, Jozef (referee) ; Szőke, Igor (advisor)
This Bachelor's Thesis describes development of a simple network computer game. This thesis describes basic scheme of computer game development. Also an analysis of various implementation of network is made in this thesis. The output of this work is a computer program written in the C++ language. For implementation of the network the Boost 1.50.0 library was used. Network communication was implemented as client-server architecture with usage of the UDP protocol. For implementation of graphics and sound, the Allegro 5.0.7 library was used.
Smart Sheet Music Reader for Android
Smejkal, Vojtěch ; Herout, Adam (referee) ; Szőke, Igor (advisor)
Oblasti jako automatické otáčení stránek nebo automatický hudební doprovod jsou studovány již několik desetiletí. Tato práce shrnuje současné metody pro počítačové sledování not v reálném čase. Zabývá se také hudebními příznaky jako jsou chroma třídy a syntetizované spektrální šablony. Dále popisuje klíčové části systému jako krátkodobou Fourierovu transformaci a Dynamické borcení času. V rámci projektu byl navrhnut a vyvinut vlastní systém pro sledování pozice hráče v notách, který byl následně implementován jako mobilní aplikace. Výsledný systém dokáže sledovat i skladby s výrazně odlišným tempem, pauzami během hry nebo drobnými odchylkami od předepsaných not.
Automatic Acquisition of Data from the Internet for Training of Recognizers
Jeřábek, Jan ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
This paper describes the design and creation of an application to facilitate downloading of audio data from Internet for training recognizers. Focuses on selection of optimal data source and analyzes options for searching and downloading from selected medium. On this base appropriate selection of tools and libraries is described. Description of the implementation follows where key parts of application are described. In the conclusion are summarised the achieved results and proposal for futher development.
Web Service for Pronunciation Training and Foreign Language Learning
Stehlík, Ján ; Bambušek, David (referee) ; Szőke, Igor (advisor)
This article presents a design and an implementation of Web application for English pronunciation training. Nowadays, there are a lot of on-line applications that help to improve English level or skill level of any other foreign language. On the other hand, there are not so many applications that help to improve pronunciation of given language. This project was developed to fill the gap, and to enable users to practice pronunciation by repeating short video segments. Using their microphone device users will record their speech. This speech will be compared with the reference recording. Result of this comparison will be returned to the user as a similarity score. The similarity score is computed using Dynamic Time Warping algorithm, that is incorporated inside a video player used in this application.
On-Line Speech Recognition Implementation with API and Android Demo app
Gabčo, Jakub ; Schwarz, Petr (referee) ; Szőke, Igor (advisor)
In modern times, people try everything to relieve. This may fulfill speechrecognition. Local speech recognition is computationally demanding, because of that many companies are trying to create a remote network speech recognition. In this thesis, we are focusing on creating a server for speech recognition, Android application and selecting appropriate protocol for communication between client and server. HTTP and Websocket protocol are analyzed her and differences and advantages between them.
Comparison of Distributed File System Features
Humpa, Vítězslav ; Kašpárek, Tomáš (referee) ; Szőke, Igor (advisor)
The goal of this thesis is to compare parallel ditributed file systems. Thesis aims at GlusterFS, PVFS 2 and Gfarm FS. There is a description of each filesystem's theory, including general installation and configuration information. The text also informs about experimental work done with each system and evaluates test results which are then used to determine ways of filesystems' possible usage at our faculty. All tested filesystems have shown to be stable enough for use in one of the applications on FIT. As it's described in this thesis, GlusterFS would excel at applications that require simultaneous access to many large files (i.e. recorded lectures download system), all filesystems would give roughly the same performance when accessing many small files (i.e. webserver) and PVFS2 and Gfarm FS would be better suited for work with small number of large files (i.e. some distributed calculations).
Language Identification of Text Document
Cakl, Jan ; Pešán, Jan (referee) ; Szőke, Igor (advisor)
The thesis deals with a language identification of a text document. The final program includes three different implementation methods of language identification. The first method is based on a frequency statistics of N-gram. The second one represents Markov chains and the last one uses the simulated neural net for the identification purposes. The result is implemented in the Python language.
Implementation of Simple Speech Recognizer in a Web Browser
Crkoň, Jakub ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
The goal of this project is to implement simple speech recognizer for web browser. This paper describes fundamental components required for implementing speech recognizer and techniques which are used for optimization process of speech recognition in web browser. At first, the paper focuses on introduction of speech recognition theory. It describes individual parts and principles of speech recognizer. In next section, thesis describes design, implementation and principles of acceleration of speech recognizer with limited computing resources of web browser. The implementation is divided into modules making up the library for usage in web browser. The library is easily extendable and usable in various web applications. Finally, it discusses potential directions of development and usability of this project.
Speech Technology Application in Pronunciation Training and Foreign Language Learning
Barotová, Štěpánka ; Žmolíková, Kateřina (referee) ; Szőke, Igor (advisor)
Tato diplomová práce pojednává o využití algoritmu Dynamic Time Warping (DTW) pro automatické hodnocení výslovnosti anglického jazyka. Práce se zaměřuje na vylepšení již existující aplikace pro výuku výslovnosti, a to ve třech oblastech: uživatelské rozhraní, samotný algoritmus a korektivní zpětná vazba uživateli. První část se věnuje přehledu technik používaných v této oblasti, následně je představen nový design uživatelského rozhraní, popsán navržený systém a experimenty. Experimenty se zaměřují na problematiku detekce chyb na úrovni fonémů, na detekci chyb v primárním důrazu na úrovni slabik a na hodnocení intonace na úrovni slov. Všechny použité metody jsou navrženy tak, aby poskytovaly korektivní zpětnou vazbu uživateli. V poslední části je popsáno, jak byly všechny tři vylepšené oblasti aplikace otestovány.
Text to Audio Alignment
Šikula, Vojtěch ; Beneš, Karel (referee) ; Szőke, Igor (advisor)
This bachelors thesis is dealing with text to audio alignment. I present here works which are dealing with same problem. For evaluation have been used data from MGB Challenge 2015. Technique used here is using phoneme transcription and its alignment with transcript. Alignment was done with different models. The best results have been achieved by intersection of two alignments from models from good records.

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