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Experimental Audio Effect Based on Dynamic Signal Filtering
Leitgeb, David ; Miklánek, Štěpán (referee) ; Schimmel, Jiří (advisor)
The aim of this thesis is the implementation of an experimental audio effect based on dynamic signal filtering. Two implementations of the audio effect were made, the first one using the Matlab environment and its Audio Toolbox extension, and the second one in the C++ programming language using the JUCE framework. The main digital signal processing types present in the proposed audio effect include: frequency filtering, signal delay and modulation of parameters using low-frequency oscillators. The initial prototype of the audio effect mainly serves to verify correct functionality of the proposed algorithms. The result of the second implementation is a fully functional plug-in module usable, for example, for music production. Both versions are available in the VST format, which can be used with numerous digital audio workstations. The thesis is divided into three main parts: theoretical introduction, implementation of the audio effect, and demonstration of its functionality. Theoretical introduction describes several areas of digital signal processing which are crucial for the correct implementation of the individual components of the audio effect. Implementation of the proposed audio effect is described in the following part of this thesis. Description of the implementation in Matlab is mostly done by showcasing parts of the source code. The C++ version of the audio effect is for the most part described verbally. The last part of this thesis focuses on the demonstration of both versions of the proposed effect. This part features several graphical examples demonstrating various use cases of the proposed effect. Audio files corresponding to these examples are included in the appendix.
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Development and Deployment of a Platform for Efficient Data Collection and Visualization in Opportunistic Sensor Networks
Chovancová, Emília ; Miklánek, Štěpán (referee) ; Musil, Petr (advisor)
Oportunistické senzory predstavujú zaujímavú alternatívu ku získavaniu cenných informácií a dát, ktoré šetria zdroje ekologicky a ekonomicky. Do tejto kategórie patria aj dané meteorologické meradlá a snímače, ktoré sú opísené v rámci tejto diplomovej práce a ktoré budú v budúcnu využívané pre porovnávanie s inými mikrovlnnými spojmi. Cieľom práce bolo vytvoriť technickú dokumentáciu ku príslušným meradlám, v nej opísať ich technické vlastnosti, tok dát a navrhnúť bezepečnostné vylepšenia infraštruktúry. Ďalším cieľom bolo vytvorenie webovej aplikácie, ktorá má umožňovať optimalizovanú vizualizáciu dát v reálnom čase a tým informovať užívateľov o aktuálnych klimatických podmienkach v rámci FEKT kampusu.
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Design of signals for nonlinear system modeling
Kuba, Michael ; Ištvánek, Matěj (referee) ; Miklánek, Štěpán (advisor)
This Master’s thesis is focused on training signals for nonlinear system modeling using deep learning. A theoretical introduction to the problem is described, including an initial description of signals and nonlinear distortion audio effects. The goal of the thesis is to design a set of artificial training signals for creating models of distortion guitar effects or tube guitar amplifiers. The designed set of artificial training signals is then processed, utilizing guitar and bass guitar effects, and using a recurrent neural network their models are trained. The quality of the resulting models is afterwards compared with the quality of the models trained with the help of a reference training signal, composed of electric guitar recordings, and signals from commercially available devices. The comparison is carried out in accordance to objective metrics and with subjective evaluation by the MUSHRA listening test.
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Implementation of Waveshaper Audio Effect
Leitgeb, David ; Miklánek, Štěpán (referee) ; Schimmel, Jiří (advisor)
The aim of this thesis is the implementation of a non-linear audio effect called waveshaper. This type of distortion effect contains the following building blocks: user defined transfer function, several types of filters and an oversampling processor with multiple stages of oversampling. The first prototype of this audio effect was implemented using Matlab and its Audio Toolbox extension. Due to certain limitations of this prototype, the whole audio effect was later completely rewritten in C++. This new implementation uses the JUCE framework which is mainly used for audio application development. The transition to this framework allowed real time editing of the transfer function and a VST3 build of the effect. In addition to a brief introduction of the used system types, motivation for oversampling and the description of the implementation for both prototypes, this thesis also includes graphical examples demonstrating their correct functionality. Audio files related to these examples are included in the electronic attachment.
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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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Audio signal modelling using neural networks
Pešán, Michele ; Ištvánek, Matěj (referee) ; Miklánek, Štěpán (advisor)
Neuronové sítě vycházející z architektury WaveNet a sítě využívající rekurentní vrstvy jsou v současnosti používány jak pro syntézu lidské řeči, tak pro „black box“ modelování systémů pro úpravu akustického signálu – modulační efekty, nelineární zkreslovače apod. Úkolem studenta bude shrnout dosavadní poznatky o možnostech využití neuronových sítí při modelování akustických signálů. Student dále implementuje některý z modelů neuronových sítí v programovacím jazyce Python a využije jej pro natrénování a následnou simulaci libovolného efektu nebo systému pro úpravu akustického signálu. V rámci semestrální práce vypracujte teoretickou část práce, vytvořte zvukovou databázi pro trénování neuronové sítě a implementujte jednu ze struktur sítí pro modelování zvukového signálu. Neuronové sítě jsou v průběhu posledních let používány stále více, a to víceméně přes celé spektrum vědních oborů. Neuronové sítě založené na architektuře WaveNet a sítě využívající rekurentních vrstev se v současné době používají v celé řadě využití, zahrnující například syntézu lidské řeči, nebo napřklad při metodě "black-box" modelování akustických systémů, které upravují zvukový signál (modulačí efekty, nelineární zkreslovače, apod.). Tato akademická práce si dává za cíl poskytnout úvod do problematiky neuronových sítí, vysvětlit základní pojmy a mechanismy této problematiky. Popsat využití neuronových sítí v modelování akustických systémů a využít těchto poznatků k implementaci neuronových sítí za cílem modelování libovolného efektu nebo zařízení pro úpravu zvukového signálu.
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Design and Realization of Acoustic Adjustments of Listening Room
Vajda, Michal ; Miklánek, Štěpán (referee) ; Schimmel, Jiří (advisor)
This bachelor thesis is devoted to the design of acoustic modifications of residential space and the subsequent implementation of these modifications. Its aim is to design an optimal solution of the space for listening to music in accordance with the Czech Technical Standards. The basic parameters investigated are reverberation time and acoustic quality criteria. The thesis deals with simulation in the EASE modelling program and addresses situations before and after acoustic treatment. The following methods and procedures are used to comprehensively address the above mentioned treatments and to achieve the set objective. Furthermore, the simulation is verified with a custom calculator in Excel. After using the absorbers suitable for adjustment, the implementation with the final measurement of the reverberation time is carried out. Finally, an additional modification design is created using Helmholtz resonators. The implemented methods achieve an optimal and frequency balanced reverberation time and the room can be used as a mixing hall for multi-channel sound recording.
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Interactive presentation of audiovisual works in virtual reality
Abdulvaliyev, Chamit ; Miklánek, Štěpán (referee) ; Sikora, Pavel (advisor)
This bachelor thesis is focused on development of a VR application which allows presentation of audiovisual works in a virtual space. This thesis was created in collaboration with Vasulka Kitchen Brno as part of the project Vasulka Live Archive / Interfaces and uses works of Steina and Woody Vasulkas. The application allows playing videos on a virtual canvas, rewinding videos, visualizing predictions generated by a neural network, changing the sorting of the thumbnails and changing the virtual environment. The prediction and sorting data are loaded from JSON files provided by the supervisor of the thesis. The videos are loaded from local storage before being played. Predictions are visualized with generated textures for every tag. The user has access to two environments, outer space and gallery, which was modelled after the exhibition space Vasulka Kitchen Brno. In the outer space environment, the user can move using the joysticks on the controllers, which simulates flight with a jet pack. Video rewinding and changing of the video sorting is controllable using the buttons on the controllers. The game engine Unity was used during the development and the application was tested on the VR headset Oculus Quest 2. The text of this bachelor thesis is divided in two parts. In the first part, the basic VR development context and game engines which can be used are described. These game engines are described: Godot, PlayCanvas and Unity. The second part focuses on the development of the VR application and the results of the bachelor thesis. It details the process of preparing a virtual scene and working with Unity editor. Also it explains the functions of the used scripts and ways of solving the problems met during the development.
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Sound records comparison using timbre features
Miklánek, Štěpán ; Schimmel, Jiří (referee) ; Kiska, Tomáš (advisor)
This thesis deals with research of musical features, which are describing music recordings relating to timbre. First chapter deals with historical development and modern approach in a discipline called Music Information Retrieval (MIR), further there is a description of music processing from the perspective of music theory and digital signal processing. Then followed by a description of signal pre-processing. This part is very important when retrieving features from music recordings. In chapter concerned about retrieving features there are summarized all common features used when retrieving information from musical recordings with main concern to timbral features. A database of music recordings and a feature retrieving system is introduced. The last chapter deals with individual analysis of timbral features.
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