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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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Analog effects for musical instruments
Skřivánek, Adam ; Kledrowetz, Vilém (referee) ; Pavlík, Michal (advisor)
This semestral work deals with different types of effect devices for electric guitars. Three types were chosen out of several kinds. Overdrive, Distortion and Fuzz. This effects exist in countless versions and they are still being updated. This work was done in Matlab Simulink. As next step, there was unique distortion effect chosen,moddeled and crafted.
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Analog effects for musical instruments
Skřivánek, Adam ; Kledrowetz, Vilém (referee) ; Pavlík, Michal (advisor)
This semestral work deals with different types of effect devices for electric guitars. Three types were chosen out of several kinds. Overdrive, Distortion and Fuzz. This effects exist in countless versions and they are still being updated. This work was done in Matlab Simulink. As next step, there was unique distortion effect chosen,moddeled and crafted.
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