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LEITGEB, D.
Originální název
Gray-Box Modeling of Flanger Effect
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper presents a gray-box neural network model of the flanger audio effect. The proposed architecture estimates the time-variant transfer function of the flanger effect and applies it to the Short-Time Fourier Transform (STFT) of the input signal to produce the output signal. The model was implemented in the PyTorch framework and evaluated using the error-to-signal ratio (ESR) metric, with results compared to a previously proposed black-box approach. Experimental results show that the model is capable of reproducing the typical comb-filter character of the flanger effect while achieving competitive performance for the considered parameter settings.
Anglický abstrakt
Klíčová slova
gray-box modeling, audio effects modeling, flanger effect, neural networks, digital signal processing
Klíčová slova v angličtině
Autoři
Vydáno
28.04.2026
Nakladatel
Brno University of Technology, Faculty of Electrical Engineering and Communication
Místo
Brno
ISBN
978-80-214-6418-6
Kniha
Proceedings II of the 32nd Conference STUDENT EEICT 2026
Periodikum
Proceedings II of the Conference STUDENT EEICT
Stát
Česká republika
Strany od
162
Strany do
166
Strany počet
5
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2026_sbornik_2.pdf
BibTex
@inproceedings{BUT211899, author="David {Leitgeb}", title="Gray-Box Modeling of Flanger Effect", booktitle="Proceedings II of the 32nd Conference STUDENT EEICT 2026", year="2026", journal="Proceedings II of the Conference STUDENT EEICT", pages="162--166", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", doi="10.13164/eeict.2026.162", isbn="978-80-214-6418-6", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2026_sbornik_2.pdf" }