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Hierarchical Techniques in Lighting Computation
Ligmajer, Jiří ; Polok, Lukáš (referee) ; Navrátil, Jan (advisor)
This master thesis deals with description of hierarchical techniques in global lighting computation. Here is explaining the importance of hierarchical techniques in lighting computation and shows method, how to use these hierarchical techniques in realtime radiosity and its extension to dynamic area lighting. These two techniques are described in detail in the first part of this project. In the other part is desing and implementation of application for dynamic area lighting computation.
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Keyword Detection in Speech Data
Pfeifer, Václav ; Makáň, Florian (referee) ; Dostál, Otto (referee) ; Balík, Miroslav (advisor)
Speech processing systems have been developed for many years but the integration into devices had started with the deployment of the modern powerful computational systems. This dissertation thesis deals with development of the keyword detection system in speech data. The proposed detection system is based on the Large Margin and Kernel methods and the key part of the system is phoneme classifier. Two hierarchical frame-based classifiers have been proposed -- linear and non-linear. An efficient training algorithm for each of the proposed classifier have been introduced. Simultaneously, classifier based on the Gaussian Mixture Models with the implementation of the hierarchical structure have been proposed. An important part of the detection system is feature extraction and therefor all algorithms were evaluated on the current most common feature techniques. A part of the thesis technical solution was implementation of the keyword detection system in MATLAB and design of the hierarchical phoneme structure for Czech language. All of the proposed algorithms were evaluated for Czech and English language over the DBRS and TIMIT speech corpus.
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Hierarchical Techniques in Lighting Computation
Ligmajer, Jiří ; Polok, Lukáš (referee) ; Navrátil, Jan (advisor)
This master thesis deals with description of hierarchical techniques in global lighting computation. Here is explaining the importance of hierarchical techniques in lighting computation and shows method, how to use these hierarchical techniques in realtime radiosity and its extension to dynamic area lighting. These two techniques are described in detail in the first part of this project. In the other part is desing and implementation of application for dynamic area lighting computation.
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Keyword Detection in Speech Data
Pfeifer, Václav ; Makáň, Florian (referee) ; Dostál, Otto (referee) ; Balík, Miroslav (advisor)
Speech processing systems have been developed for many years but the integration into devices had started with the deployment of the modern powerful computational systems. This dissertation thesis deals with development of the keyword detection system in speech data. The proposed detection system is based on the Large Margin and Kernel methods and the key part of the system is phoneme classifier. Two hierarchical frame-based classifiers have been proposed -- linear and non-linear. An efficient training algorithm for each of the proposed classifier have been introduced. Simultaneously, classifier based on the Gaussian Mixture Models with the implementation of the hierarchical structure have been proposed. An important part of the detection system is feature extraction and therefor all algorithms were evaluated on the current most common feature techniques. A part of the thesis technical solution was implementation of the keyword detection system in MATLAB and design of the hierarchical phoneme structure for Czech language. All of the proposed algorithms were evaluated for Czech and English language over the DBRS and TIMIT speech corpus.
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