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Generation of Sound from Images
Brada, Tomáš ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This thesis deals with different kinds of converting image data (two-dimensional discrete signal) to sound data (one-dimensional discrete signal). Implemented algorithms are using knowledge of music theory, properties of human hearing and basic techniques of 1D and 2D signal processing as Fourier transform and modulating frequency spectrum via high-pass and low-pass filter.
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Rule-Based Melody Harmonization
Kuchár, Pavol ; Žák, Pavel (referee) ; Fapšo, Michal (advisor)
Bachelor thesis deals with the issue of computer aided composition. The aim of the thesis was to create the program, which implements several rules of music theory and using of CSP determines appropriate tones for harmonization of melody. The result is presented in score and MIDI file.
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Melody Harmonization
Vlasák, Jaroslav ; Černocký, Jan (referee) ; Fapšo, Michal (advisor)
This bachaleor's thesis is focused on an automatic harmonization of melody. The implemented system is using a machine learning approach and learning the harmony principles from the database of MIDI files. The input of the system could be monophony songs in MIDI or ABC format. The output of the system are polyphony songs in MIDI format harmonized in the style of protestant chorale.
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Generator of Harmonic Sounds and Chords
Bednář, Jan ; Mašek, Jan (referee) ; Schimmel, Jiří (advisor)
Major aim of this bachelor’s thesis is creation of VST plug-in module, that is able to generate sound for more tones in the same time. This thesis describes a brief theory of music acoustics which aims to show basic relations between tones, their higher harmonics and impact on the sound color. The function of temperament system of tuning, relations between intervals and way of making chords is described. Next things mentioned in this thesis are basics of VST technology, how to programme with VST SDK and basic MIDI messages for implementation in VST plug-in.
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Melody Harmonization
Maňák, Ondřej ; Černocký, Jan (referee) ; Fapšo, Michal (advisor)
The focus of this bachelor's thesis is an automatic harmonization of melody. The programme uses axioms of harmonization and is implemented in Perl language. The input is a text file that contains the melody that should be harmonized. The output is a midi file that contains the melody with the piano harmonization part.
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Anonymity in P2P Networks
Brunai, Adam ; Malinka, Kamil (referee) ; Barabas, Maroš (advisor)
Freedom of speech and the right to privacy are maybe the most important elements of a modern society, yet the rights are often violated. This fact was the main reason for writing this thesis covering P2P network models, anonymity, censorship resistance and their use in real P2P networks and publishing systems. We discuss their effectiveness and suitability for specific purposes, but also the security considerations of their use. The second part of this thesis presents the LSPP publishing protocol, which is an library implementation of an anonymous censorship resistant P2P network. Finally, we analyze the proposed protocol and compare it with existing solutions.
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Web Application for Learning of Guitar Playing
Mikota, Michal ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
Tools for teaching musical instruments have been with us for hundreds of years and, like everything else, have gradually adapted to the present day. However, a large number of these applications are overly complex, confusing, and generally unfriendly for their users. At the same time, there are only a handful of apps that have an implemented feature of real-time detection of the played note by the player, which is very desirable and necessary for beginner and moderately advanced guitar players. This bachelor thesis demonstrates and explains the implementation of the various tools needed for teaching using techniques for dominant frequency detection and filtering out unwanted audio artifacts using an algorithm from the field of convolutional neural networks. At the same time, the goal is to focus on the robustness of the algorithm, i.e., it can detect and determine the played tone on the guitar even in noisy environments. The algorithm used by the individual tools developed within this application, combined with a simple user interface, provide the alternative for teaching how to play guitar.
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Web Application for Learning of Guitar Playing
Mikota, Michal ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
Tools for teaching musical instruments have been with us for hundreds of years and, like everything else, have gradually adapted to the present day. However, a large number of these applications are overly complex, confusing, and generally user-unfriendly for their users. At the same time, there are only a handful of apps that have an implemented feature of real-time detection of the played note by the player, which is very desirable and necessary for beginner and slightly advanced guitar players. This bachelor thesis demonstrates and explains the implementation of the various tools needed for teaching using techniques for dominant frequency detection and filtering out unwanted audio artifacts using an algorithm from the field of convolutional neural networks. At the same time, the goal is to focus on the robustness of the algorithm, i.e., it can detect and determine the played tone on the guitar even in noisy environments. The algorithm used by the individual tools developed within this application, combined with a simple user interface, provide the alternative for teaching how to play guitar
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Chord structure detection in music recordings
Kučera, Ondřej ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
This thesis deals with music information retrieval, namely automatic chord recognition in audio recordings. The thesis defines the concepts of chord and chroma features and describes the methods of converting the signal from the time domain to the frequency domain. The thesis explores methods for automatic chord detection; the state-of-the-art methods are based on deep learning. The thesis includes a system implemented in Python that allows chord detection from audio recordings. Individual recordings and associated chord labels can be visualized. The system offers a choice of methods for chord recognition – a method based on chord templates, a method using deep chroma vectors, and a method based on a convolutional neural network. The results of the methods are evaluated on a multi-genre dataset compiled from freely available annotations and recordings.
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Anonymity in P2P Networks
Brunai, Adam ; Malinka, Kamil (referee) ; Barabas, Maroš (advisor)
Freedom of speech and the right to privacy are maybe the most important elements of a modern society, yet the rights are often violated. This fact was the main reason for writing this thesis covering P2P network models, anonymity, censorship resistance and their use in real P2P networks and publishing systems. We discuss their effectiveness and suitability for specific purposes, but also the security considerations of their use. The second part of this thesis presents the LSPP publishing protocol, which is an library implementation of an anonymous censorship resistant P2P network. Finally, we analyze the proposed protocol and compare it with existing solutions.
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