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Automatic Recognition of Logopaedic Defect in Speech Utterances
Dušil, Lubomír ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The thesis is aimed at an analysis and automatic detection of logopaedic defects in speech utterance. Its objective is to facilitate and accelerate the work of logopaedists and to increase percentage of detected logopaedic defects in children of the youngest possible age followed by the most successful treatment. It presents methods of speech work, classification of the defects within individual stages of child development and appropriate words for identification of the speech defects and their subsequent remedy. After that there are analyses of methods of calculating coefficients which reflect human speech best. Also classifiers which are used to discern and determine whether it is a speech defect or not. Classifiers exploit coefficients for their work. Coefficients and classifiers are being tested and their best combination is being looked for in order to achieve the highest possible success rate of the automatic detection of the speech defects. All the programming and testing jobs has been conducted in the Matlab programme.
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Signal Integrity Optimization Techniques for High-Speed Chips Signaling
Ševčík, Břetislav ; Štork, Milan (referee) ; Horský, Pavel (referee) ; Brančík, Lubomír (advisor)
Tato disertační práce je obsahově zaměřená na problematiku integrity signálů v moderních čipových obvodech. Na základě provedených simulací a praktických experimentů byl proveden návrh equalizační techniky druhého řádu pro efektivnější vysokorychlostní komunikaci. Předložený návrh respektuje současné požadavky na vyvíjené signalizační techniky, které zahrnují efektivnější využití šířky pásma přenosového kanálu a energetickou úsporu. Provedené analýzy podrobně ukazují možnost zvýšení přenosové rychlosti při přenosu signálu skrz nízkonákladové přenosové kanály s využitím navržené signální metody. Výkonnost navrhované signalizační techniky je demonstrována na různých typech přenosových kanálů s přenosovou funkcí vyššího řádu. Diskutovány jsou rovněž možnosti omezení rušivých vlivů na přenosové kanály během návrhu.
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Parkinson disease diagnosis using speech signal analysis
Karásek, Michal ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
The thesis deals with the recognition of Parkinson's disease from the speech signal. The first part refers to the principles of speech signals and speech signals by patients suffering from Parkinson's disease. Further, it continues to describe the issues of speech signals processing, basic symptoms used for diagnosis of Parkinson's disease (e. g. VAI, VSA, FCR, VOT etc.) and reduction of these symptoms. The next part focuses on a block diagram of the program for the diagnosis of Parkinson's disease. The main objective of this thesis is comparison of two methods of feature selection (mRMR and SFFS). For classification have selected two different methods were used. The first method is classification kNN and second method of classification is Gaussian mixture model (GMM).
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Multichannel HD-SDI digital video signal converter
Kučera, Stanislav ; Bobula, Marek (referee) ; Kubíček, Michal (advisor)
This master’s thesis deals with the design of six channel SD, HD and 3G HD-SDI digital video signal converter to 10-Gigabit Ethernet. In the introductory part, the conception of designed device is formulated. The theoretical background is provided in four chapters, where main standards and design rules related to digital electronics’ design are analyzed. The emphasis is placed on signal integrity at high-speed interconnects. There mostly practical examples, calculations and simulations are utilized. The design part contains thorough description of main subsystems’ design, implementation of FPGA, SDI input channels and 10-Gigabit Ethernet PHY. In the final part, the first tests and measurements of the build prototype are summarized. As an example, the comparison of signal integrity simulation to measurement is provided.
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Signal Integrity Optimization Techniques for High-Speed Chips Signaling
Ševčík, Břetislav ; Štork, Milan (referee) ; Horský, Pavel (referee) ; Brančík, Lubomír (advisor)
Tato disertační práce je obsahově zaměřená na problematiku integrity signálů v moderních čipových obvodech. Na základě provedených simulací a praktických experimentů byl proveden návrh equalizační techniky druhého řádu pro efektivnější vysokorychlostní komunikaci. Předložený návrh respektuje současné požadavky na vyvíjené signalizační techniky, které zahrnují efektivnější využití šířky pásma přenosového kanálu a energetickou úsporu. Provedené analýzy podrobně ukazují možnost zvýšení přenosové rychlosti při přenosu signálu skrz nízkonákladové přenosové kanály s využitím navržené signální metody. Výkonnost navrhované signalizační techniky je demonstrována na různých typech přenosových kanálů s přenosovou funkcí vyššího řádu. Diskutovány jsou rovněž možnosti omezení rušivých vlivů na přenosové kanály během návrhu.
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Multichannel HD-SDI digital video signal converter
Kučera, Stanislav ; Bobula, Marek (referee) ; Kubíček, Michal (advisor)
This master’s thesis deals with the design of six channel SD, HD and 3G HD-SDI digital video signal converter to 10-Gigabit Ethernet. In the introductory part, the conception of designed device is formulated. The theoretical background is provided in four chapters, where main standards and design rules related to digital electronics’ design are analyzed. The emphasis is placed on signal integrity at high-speed interconnects. There mostly practical examples, calculations and simulations are utilized. The design part contains thorough description of main subsystems’ design, implementation of FPGA, SDI input channels and 10-Gigabit Ethernet PHY. In the final part, the first tests and measurements of the build prototype are summarized. As an example, the comparison of signal integrity simulation to measurement is provided.
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|
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Parkinson disease diagnosis using speech signal analysis
Karásek, Michal ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
The thesis deals with the recognition of Parkinson's disease from the speech signal. The first part refers to the principles of speech signals and speech signals by patients suffering from Parkinson's disease. Further, it continues to describe the issues of speech signals processing, basic symptoms used for diagnosis of Parkinson's disease (e. g. VAI, VSA, FCR, VOT etc.) and reduction of these symptoms. The next part focuses on a block diagram of the program for the diagnosis of Parkinson's disease. The main objective of this thesis is comparison of two methods of feature selection (mRMR and SFFS). For classification have selected two different methods were used. The first method is classification kNN and second method of classification is Gaussian mixture model (GMM).
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Automatic Recognition of Logopaedic Defect in Speech Utterances
Dušil, Lubomír ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The thesis is aimed at an analysis and automatic detection of logopaedic defects in speech utterance. Its objective is to facilitate and accelerate the work of logopaedists and to increase percentage of detected logopaedic defects in children of the youngest possible age followed by the most successful treatment. It presents methods of speech work, classification of the defects within individual stages of child development and appropriate words for identification of the speech defects and their subsequent remedy. After that there are analyses of methods of calculating coefficients which reflect human speech best. Also classifiers which are used to discern and determine whether it is a speech defect or not. Classifiers exploit coefficients for their work. Coefficients and classifiers are being tested and their best combination is being looked for in order to achieve the highest possible success rate of the automatic detection of the speech defects. All the programming and testing jobs has been conducted in the Matlab programme.
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