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Plagiarism detection of text documents
Nezval, Jiří ; Kašpar, Jakub (referee) ; Vítek, Martin (advisor)
This thesis informs the reader about plagiarism. It explaines basic methods and approaches of its detection. Furthermore, it contains a practical part realized in the Matlab enviroment involving creating a plagiarism detector. The detector was tested on a database of real thesis. Graphic user interface is also implemented into the detector.
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Estimation of accuracy of speech technologies based on signal quality and audio content richness
Nezval, Jiří ; Smital, Lukáš (referee) ; Schwarz, Petr (advisor)
This thesis discusses theoretical analysis of the origin of speech, introduces applications of speech technologies and explains the contemporary approach to phonetical transcription of speech recordings. Furthermore, it describes the metrics of audio recordings quality assessment, which is split into two discrete classes. The first one groups signal quality metrics, while the other one groups content richness metrics. The first goal of the practical section is to create a statistical model for accuracy prediction of machine transcription of speech recordings based on a measurement of their quality. The second goal is to evaluate which partial metrics are the most essential for accuracy prediction of machine transcription.
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Estimation of accuracy of speech technologies based on signal quality and audio content richness
Nezval, Jiří ; Smital, Lukáš (referee) ; Schwarz, Petr (advisor)
This thesis discusses theoretical analysis of the origin of speech, introduces applications of speech technologies and explains the contemporary approach to phonetical transcription of speech recordings. Furthermore, it describes the metrics of audio recordings quality assessment, which is split into two discrete classes. The first one groups signal quality metrics, while the other one groups content richness metrics. The first goal of the practical section is to create a statistical model for accuracy prediction of machine transcription of speech recordings based on a measurement of their quality. The second goal is to evaluate which partial metrics are the most essential for accuracy prediction of machine transcription.
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Plagiarism detection of text documents
Nezval, Jiří ; Kašpar, Jakub (referee) ; Vítek, Martin (advisor)
This thesis informs the reader about plagiarism. It explaines basic methods and approaches of its detection. Furthermore, it contains a practical part realized in the Matlab enviroment involving creating a plagiarism detector. The detector was tested on a database of real thesis. Graphic user interface is also implemented into the detector.
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