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Acoustic analysis of Mozart effect and its effect in patients with epilepsy
Zemánek, Václav ; Mekyska, Jiří (referee) ; Kiska, Tomáš (advisor)
The music, in generaly, can calm down a human internally. The effect of Mozart’s music can even be measured. Students, who listened Mozart’s music, had higher IQ result and epileptiform activity is describing on patients with epilepsy. This master’s thesis is dealing with design of the evaluation system, which can determine music parameters describing epileptiform activity. In the solution is make detailed analysis of the tracks, signal parameterization, description of data processing and make the Pearson correlation analysis. In the final chapter are described music parameters, which suppress epileptiform activity in the women and the man.
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Degree of Parkinson's disease estimation based on acoustic analysis of speech
Ustohalová, Iveta ; Kiska, Tomáš (referee) ; Galáž, Zoltán (advisor)
The diploma thesis deals with the non-invasive analysis of progression of Parkinson´s disease using the acoustic analysis of speach. Hypokinetic dysarthria in connection with Parkinson´s disease as well as speech parameters are described in this work. Speech parameters are sorted according to the speech component they affect. The work uses the phonation of vowels "a" speech task as the most commonly used speech task in the field of pathological speech processing, because of its resistance to demographic and linguistic characteristics of the speakers. Based on obtained knowledge, in MATLAB development enviroment were created systém for UPDRS III scale estimation. The UPDRS III scale is based on subjective diagnosis given by the doctor. At first, one individual parameter is used for the UPDRS III scale value estimation. Then the feature selection using SFFS algorithm is applied to gain feature combination with minimal estimation errror. Attention i salso paid to correlation between individual symptoms and UPDSR III scale.
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Music information retrieval techniques for determining the place of origin of the Czech chamber and orchestral music interpretations
Miklánek, Štěpán ; Mekyska, Jiří (referee) ; Kiska, Tomáš (advisor)
This diploma thesis is focused on the statistical analysis of chamber and orchestral classical music recordings composed by Czech authors. One of the chapters is dedicated to the description of a feature extraction process that precedes the statistical analysis. Techniques of Music Information Retrieval are used during several stages of this thesis. Databases used for analysis are described and pre-processing steps are proposed. A tool for synchronization of the recordings was implemented in MATLAB. Finally the system used for classification of recordings based on their geographical origin is proposed. The recordings are sorted by a binary classifier into two categories of Czech and world recordings. The first part of the statistical analysis is focused on individual analysis of features. The features are evaluated based on their discrimination strength. The second part of the statistical analysis is focused on feature selection, which can improve the overall accuracy of the binary classifier compared to the individual analysis of the features.
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Modeling Sound Field in Closed Space at Low Frequencies
Hořák, Pavel ; Kiska, Tomáš (referee) ; Schimmel, Jiří (advisor)
This diploma thesis deals with issues of low frequency acoustics and simulation. In this work the FTDT method of simulation is used. Measuring and simulation are focused on live-sound system and are evaluated using basic sound system optimisation techniques. Main output of this work is verification of basic low-frequency acoustics principles using simulation and measuring.
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Design of Net-Based Virtual Collaborative Musical Instrument
Liudkevich, Denis ; Kiska, Tomáš (referee) ; Kavan, Jan (advisor)
The aim of this work was to create an online platform for multi-user sound creation with original sound synthesis tools. The educational context of the application was also taken into account by hiding the controls of the sound parameters behind the subconsciously known physical phenomena and the game form of the application. A substantial part of the logic and all graphics of the instruments is written in the JavaScript programming language and its library p5.js. It is located on the client side and communicates with the Node.js-based server via a web socket. The audio part is on another server in the SuperCollider environment, it is transmitted via IceCast and communicates with the main OSC message server. The application contains 3 instruments for generating sounds and one effects module. Each instrument is designed for multiple users and requires their cooperation. Acceptable transmission speeds and minimum computational demands have been achieved by optimizing the instrument's internal algorithms, the way in which the graphic content is displayed and the appropriate routing of the individual sound modules. The sound is specific for each instrument. The instruments in the application are tuned and designed so that the user can both achieve interesting sound results himself and play his role as a whole with others. Methods such as granular synthesis, chaotic oscillators, string instrument modeling, filter combinations, and so on are used to generate sound. Great emphasis in the development of the application was placed on the separation of roles, simultaneous control of one instrument by several players and communication of users through playing the instruments and text expression - chat. An important part is also a block for displaying descriptive information.
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