Open Dataset for Modeling Nonlinear Systems for Electric Guitar

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00383582" target="_blank" >RIV/68407700:21230/25:00383582 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008383" target="_blank" >https://doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008383</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA65656.2025.11008383" target="_blank" >10.1109/RADIOELEKTRONIKA65656.2025.11008383</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Open Dataset for Modeling Nonlinear Systems for Electric Guitar

Popis výsledku v původním jazyce

A robust representative dataset is a critical component in proper training of any neural network. In this paper, we present a dataset designed specifically for training models of nonlinear systems relevant to electric guitar, including distortion effects and amplifiers. Our dataset, which reflects developments in the design of electric guitars, is carefully selected and ready for further extension using readily available commercial recording equipment. The introduced dataset consists of source audio signals recorded on several guitars and short synthesized samples, and corresponding output signals from several systems at several setting combinations.

Název v anglickém jazyce

Open Dataset for Modeling Nonlinear Systems for Electric Guitar

Popis výsledku anglicky

A robust representative dataset is a critical component in proper training of any neural network. In this paper, we present a dataset designed specifically for training models of nonlinear systems relevant to electric guitar, including distortion effects and amplifiers. Our dataset, which reflects developments in the design of electric guitars, is carefully selected and ready for further extension using readily available commercial recording equipment. The introduced dataset consists of source audio signals recorded on several guitars and short synthesized samples, and corresponding output signals from several systems at several setting combinations.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Radioelektronika 2025

ISBN

979-8-3315-4447-8

ISSN

2993-2165

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Brussels

Místo konání akce

Hnanice

Datum konání akce

12. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001509603700011