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Creating programs for teaching signal and image processing
Novotný, Luděk ; Číž, Radim (referee) ; Rajmic, Pavel (advisor)
The bachelor thesis deals with the problém of creating interactive JAVA applets. The practical part of work consist of desing, development and debugging four applets. The first one clearly explains the issue of phasor theory, the second one shows frequency filtering of audio signals, the third one demonstrates artificial coloring of grayscale images and the fourth one creates Huffman code from input text. The theoretical part describes the JAVA language, advantages of applets and theory, which relates to particular applets.
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Analysis and comparison of ROC curves of audio signals
Pospíšil, Lukáš ; Staněk, Miroslav (referee) ; Poměnková, Jitka (advisor)
This thesis deals with oportunity of ROC curve usage in the description of methods that work with sound signals. Specifically, it focuses on ways of detecting of stress in speech signals. The detection itselfs is done in a range of frequencies of the sound signal. There is also a classifier designed using ROC curves that decides whether the input signal is stressed or not. The output of this thesis are findings gathered from analyses and also some recommendation based on those analyses.
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Deep learning based sound records analysis
Kramář, Denis ; Říha, Kamil (referee) ; Přinosil, Jiří (advisor)
This master thesis deals with the problem of audio-classification of the chainsaw logging sound in natural environment using mainly convolutional neural networks. First, a theory of grafical representation of audio signal is discussed. Following part is devoted to the machine learning area. In third chapter, some of present works dealing with this problematics are given. Within the practical part, used dataset and tested neural networks are presented. Final resultes are compared by achieved accuracy and by ROC curves. The robustness of the presented solutions was tested by proposed detection program and evaluated using objective criteria.
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Thresholding rules for noise reduction in sound signals
Ráček, Tomáš ; Schimmel, Jiří (referee) ; Balík, Miroslav (advisor)
The master's thesis focuses on the study of algorithms dealing with noise separation from musical signal. The first chapter is an introduction into methods which are used for noise removal of the musical signal. Furthermore, this chapter describes theory to the issue, specifically a description of transformations for converting from time to frequency domain, and finally thresholding method of spectral coefficients is explained in detail. The aim of the second chapter is an analysis of the proposed algorithm, which is engaged in testing. From the beginning fast algorithms of gradual transformation are described and then a detailed description of the algorithm as a whole. Later, this chapter deals with the selection of audio recordings and with preparation of these recordings for the actual testing. Finally, testing of audio samples is presented in the third chapter of this thesis. This chapter also concludes comparison of individual transformations, achieved results and review of algorithm.
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Objective methods for evaluation of the audio signal quality
Granát, Michal ; Rajmic, Pavel (referee) ; Rášo, Ondřej (advisor)
This diploma thesis deals with the objective methods of audio-signal qualification. In detail have been described algorithms to the reader which are used in individual methods. Individual methods are analyzed from computational intensity, ability to predict precisely subjective quality of audio-signals, point of view. There have been described basic variables by which audio-signals are described in further parts of this thesis. Second part has been dedicated to theoretical description of individual methods – their advantages and disadvantages and practical forms of usage. Third part has been dedicated to implementation of two chosen methods in graphical interface of MATLAB program. All the functions are described in detail which these applications offer. In the last part of the thesis there are in detail described results obtained by practical testing of audio-signals with different character in created applications and evaluated quality of reached results as an outcome.
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DAC converter for CD/DVD player
Vomočil, Vojtěch ; Brančík, Lubomír (referee) ; Kratochvíl, Tomáš (advisor)
Bachelor thesis deals with the design and construction of D/A converter used in the area of audio signals with digital interface SPDIF. In the theoretical part of the thesis the design of block structure of the D/A converter module is included with assumption on realization by receiver of the digital signal Cirrus Logic CS8414 and D/A converter CS4334. In the practical part of the thesis the detailed wiring scheme of D/A converter, printed circuit board design, parts layout and construction design for implementation are presented. In the experimental part of the thesis the functionality of the D/A converter is tested and verified including the measurement results. Measured results are presented in the form of standard protocol. D/A converter can be used as stand alone module and connected to CD or DVD player. At the converter outputs audio amplifier and speakers can be connected.
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Presence and action of negative audio signals in environment
Renza, Pavel ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
The thesis deals with negative influences of audio signals in the environment and the impact of the signals on human in psychological and physiological point of view. The origins of such audio signals as well as protection from their negative effects are considered. The thesis includes an overview study of standards and basic literature. Selected audio signals are presented using a program for negative audio signal analysis.
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The influence of operational amplifier topology on audiosignal quality
Rozkopal, Tomáš ; Kledrowetz, Vilém (referee) ; Háze, Jiří (advisor)
The thesis describes different between any signal and audio signal from the used amplifier´s quality point of view. There are mentioned ways of origin of distortions and their effect on the audio signal quality. There is also described in detail the principal of operational amplifier, it´s circuit realization and ways to improve the circuit topology in order to reach the best qualities. Choice of parts used for discreet realization of operational amplifier is consulted. Last but not least the thesis contents the practical part, stating the reasons for realization of operational amplifiers from discreet parts and also describing two most commonly used topologies of operational amplifiers. Their discreet version is designed and there are compared the different between the manufacturer’s data and the data measured during the simulation.
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Making up missing audio signal sections
Pospíšil, Jiří ; Rášo, Ondřej (referee) ; Mach, Václav (advisor)
The goal of this bachelor’s thesis is to get introduced with methods for reconstruction of missing samples in audio signal using periodicity-based interpolation and AR model based interpolation. Further it’s introducing us with Audio Inpainting method based on sparse representation. In practical part there are programmed three algorithms based on these interpolation methods and described an algorithm which is used in Audio Inpainting. These algorithms are compared with objective methods, SNR measurements depending on gap length and value of input parameter.
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Music genre recognition using Music information retrieval techniques
Zemánková, Šárka ; Zvončák, Vojtěch (referee) ; Kiska, Tomáš (advisor)
This diploma work deals with music genre recognition using the techniques of Music Information Retrieval. It contains a brief description of the principle of this research area and its subfield called Music Genre Recognition. The following chapter includes selection of the most suitable parameters for describing music genres. This work further characterizes machine learning methods used in this field of research. The next chapter deals with the descriptions of music datasets created for genre classification studies. Subsequently, there is a draft and evaluation of the system for music genre recognition. The last part of this work describes the results of partial parameter analysis, dependence of genre classification accuracy on the amount of parameters and contains a discussion on the causes of classification accurancy for the individual genres.
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