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Architectural organism
Drbal, Jaroslav ; Mačuda, Michal (referee) ; Vítek, Jiří (advisor)
The inspiration is the human body. It is a fascinating grouping of diverse types of tissues, thanks to specialized cells that form organs that perform various tasks in your body - perfect cooperation of individual groups - organs. Your authorities should be understood as "machines" that fulfill your responsibilities throughout the system. These machines are suitable for us and help us so that we can get on our side as well. Man changes, he looks for the environment and organs, and therefore parts of his bodies change with whom. Motivation is the search for articulation of individual processes, principles taking place in the human body. They perceive them that it is possible to observe all the principles taking place on a microscopic scale and to approach us on a scale - they will reduce man. All is intertwined.
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Application for the calculation of speech features describing hypokinetic dysarthria
Hynšt, Miroslav ; Mekyska, Jiří (referee) ; Kiska, Tomáš (advisor)
This thesis is about design and implementation of application for computing speech parameters on people with Parkinson disease. At the beginning is generaly described Parkinson disease and Hypokinetic dysarthria and how it affects the speech and speech parameters when it occurs. Mainly there are described areas of speech like phonation, prosody, articulation and fluent speech. As a part of next topic this thesis describes specific speech parameters with bigger meaning during diagnosis Parkinson disease and it's progress over the time. There are also mentioned few significant studies dealing with examination of speech of the subjects with diagnoses of Parkinson disease and computing some speech parameters in order to analyze their speech impairments. Part of the thesis is description of implemented standalone application for calculating, exporting and visualizing of speech parameters from selected sound records.
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Assessing movement of articulatory organs based on acoustic analysis of speech
Novotný, Kryštof ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
Hypokinetic dysarthria is a motor speech disorder often present during Parkinson’s disease. It affects the speech system, including articulatory abilities. There are several speech parameters describing this domain, so it is suggested to deal with their mutual comparison. This work aims to design and describe an algorithm for calculating the parameters of articulation, adapted for the Czech language, and then compare their discriminative power. The acoustic analysis of speech included in it is done via the Praat program and basic machine learning algorithms such as Expectation-Maximization, Kmeans and linear regression are used for the subsequent data processing. The Mann-Whitney U test and representatives of linear, nonlinear and ensemble machine learning models using cross-validation and balanced accuracy are used for evaluation. The results are scripts for automatic assessment of vowel space area, for calculating articulation parameters and for their evaluation. The outputs of the analysis of two different databases (PARCZ and CoBeN) prove that differences in articulation can indeed be observed between normal and dysarthric speech. Based on the mutual comparison of results, it is therefore proposed in the work which parameters and models of machine learning are being appropriate for further dealing with this issue.
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Extraction of parameters for the research of music performance
Laborová, Anna ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
Different music performances of the same piece may significantly differ from each other. Not only the composer and the score defines the listener’s music experience, but the music performance itself is an integral part of this experience. Four parameter classes can be used to describe a performance objectively: tempo and timing, loudness (dynamics), timbre, and pitch. Each of the individual parameters or their combination can generate a unique characteristic performance. The extraction of such objective parameters is one of the difficulties in the field of Music Performance Analysis and Music Information Retrieval. The submitted work summarizes knowledge and methods from both of the fields. The system is applied to extract data from 31 string quartet performances of 2. movement Lento of String Quartet no. 12 F major (1893) by czech romantic composer Antonín Dvořák (1841–1904).
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Speech therapy prevention for the natural development of pre-school children
VONDRÁKOVÁ, Kateřina
The bachelor thesis is focused on the issue of (not) using the offer of speech therapy prevention by parents of children with impaired communication skills. The theoretical part defines basic concepts such as speech therapy, speech therapy, impaired communication ability, speech development (risks that may manifest in speech development) and articulation. It relies on available professional sources in the field of speech therapy. The practical part is carried out using the method of qualitative research and contains semi-structured interviews with parents. The main goal is to find out the answer to the research question: "How active is the interest on the part of parents and what is the main reason for parents to seek professional help?" Specifically, it is a research in a kindergarten in South Bohemia.
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Assessing Movement of Articulatory Organs in Patients with Parkinson’s Disease
Novotný, K. ; Mekyska, J.
Hypokinetic dysarthria is a motor speech disorder often present during Parkinson’s disease. It affects the speech system, including articulatory abilities. There are several speech parameters describing this domain, so it is suggested to deal with their mutual comparison. This work aims to design and describe an algorithm for calculating the parameters of articulation, adapted for the Czech language, and then compare their discriminative power. The acoustic analysis of speech included in it is done via the Praat program and basic machine learning algorithms such as Expectation-Maximization, K-means and linear regression are used for the subsequent data processing. The Mann-Whitney U test, descriptive statistics and Random Forest machine learning model using cross-validation and balanced accuracy is used for evaluation. The results are scripts for automatic assessment of vowel space area, for calculating articulation parameters and for their evaluation. The outputs of the analysis of speech recording database prove that differences in articulation can indeed be observed between normal and dysarthric speech. Based on the mutual comparison of results, it is therefore proposed in the work which parameters are being appropriate for further dealing with this issue.
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Articulation and oral exercises in Kindergarten
POSPĚCHOVÁ, Radka
This bachelor thesis is on the topic of articulation exercises at nursery school. The aim is to create an articulation exercise education programme that meets the specifics of pre-schooleducation. The theoretical part defines the term articulation, its development until the end of pre-school age, factors that affect its development and means of preventing the disruption of articulation. It also outlines education methods and ways of incorporating articulation exercises into the education process at nursery school. The practical part contains suitably motivated topics for articulation exercises, and a description of how they are implemented and evaluated. These activities are incorporated into the normal nursery school programme, as part of the WINTER theme, and are designed as a form of play using various types of activities. This education programme has been verified in practice at anursery school with children aged 57. It was evaluated using the participated observation method and analysis of video records.
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Multiple Sclerosis - Neuropsychological markers for monitoring disease activity
Friedová, Lucie ; Uher, Tomáš (advisor) ; Holštajn Zemánková, Petra (referee) ; Libertínová, Jana (referee)
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system that generates a wide range of clinical symptoms. These include cognitive impairment, a set of symptoms closely associated with the quality of life, which also serves as one of the most important predictors of limited ability to work. This doctoral thesis presents the output from four studies divided into three areas focusing on neuropsychological markers in connection to other manifestations and effects of MS. The first researched area is the link between speech characteristics and the information processing speed by patients with MS. Our study has proven a profound association between lower speed of articulation and below-average performance in terms of information processing speed. We have proven that acoustic quantitative speech analysis has the potential to identify patients with below-average cognitive performance. Another goal of this doctoral thesis was to ascertain the predictive value of serum neurofilament light chain levels in recently diagnosed patients with MS for the development of cognitive disorder within nine years of observation. During the period of observation, we uncovered only a loose link between high levels at the onset of the disease and the deterioration of cognitive functions in...
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Demands of the Teacher's Proffesion on the Teachers' Voice
Králová, Michaela ; Tichá, Alena (advisor) ; Koverdynský, Luděk (referee)
This dissertation thesis deals with the demands on teachers' voice and proper use of voice in the teacher's profession. The whole thesis consists of two parts: theoretical and practical. The theoretical part is divided into nine sections: the anatomy and physiology of the vocal tract, voice developement, comparison of spoken and singing voice, psychological impact on voice, voice defects and hygiene, voice reeducation, methods of voice diagnostics and voice acoustics. The research part presents the findings of acoustic voice measurement. Students (only women) of Faculty of Education in Prague participed in the research. The objective of this part was to asses the quality of students' voice and their voice readiness for future teaching.
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